CN113075752A - Method and device for judging correctness of three-dimensional space position of meteorological observation station - Google Patents
Method and device for judging correctness of three-dimensional space position of meteorological observation station Download PDFInfo
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Abstract
The invention relates to a method and a device for judging the correctness of a three-dimensional space position of a meteorological observation station, wherein the method comprises the following steps: acquiring air pressure data and air temperature data of a weather observation station which operates for more than preset time, and preprocessing the air pressure data and the air temperature data by using a threshold limiting method; carrying out statistical analysis index calculation according to the air pressure data of the meteorological observation station and the simulated air pressure data of the corresponding atmospheric numerical prediction mode, and further determining the correctness of longitude data and latitude data of the meteorological observation station; for a target meteorological observation station with correct longitude data and latitude data, calculating predicted altitude data according to air pressure data, air temperature data, actual measurement altitude data of the target meteorological observation station, and simulated altitude data and simulated air pressure data of a corresponding atmospheric numerical prediction mode; and judging the correctness of the actually measured altitude data of the target meteorological observation station according to the difference value between the predicted altitude data and the actually measured altitude data.
Description
Technical Field
The disclosure relates to the technical field of meteorological observation, in particular to a method and a device for judging correctness of a three-dimensional space position of a meteorological observation station.
Background
The weather detection information is an important basic resource for national economic and social construction and weather service and scientific research. The longitude, the latitude and the altitude of the meteorological observation station are the most important meteorological detection metadata information of the meteorological observation station, the longitude and the latitude identify the specific geographic position of the observation station, and the altitude identifies the vertical spatial position of the observation station, so that the longitude, the latitude and the altitude are the most important parameters for developing and analyzing meteorological observation data of the meteorological observation station.
The judgment of the correctness of the longitude, the latitude and the altitude of the meteorological observation station is also a key link for ensuring the high quality of observation data. In the actual service operation process, the weather observation station always generates the situation of station address migration, the longitude, the latitude and the altitude before and after the station address migration all change, and the weather elements detected by the corresponding weather sensors also change in the whole trend. Sometimes, because an error occurs in a certain node such as manual measurement, data entry, database update, etc., an erroneous value may occur in the longitude, latitude, or altitude of the weather observation station, which is a great hidden danger for quality control, product processing, and subsequent service application of subsequent observation data.
Disclosure of Invention
In order to overcome the problems in the related art, the present disclosure provides a method and an apparatus for judging the correctness of a three-dimensional spatial position of a weather-observing station, so as to judge whether the longitude, the latitude and the altitude of the weather-observing station are correct in time, and correct the incorrect longitude, the latitude and the altitude of the weather-observing station in time.
According to a first aspect of the embodiments of the present disclosure, there is provided a method for determining correctness of a three-dimensional space position of a weather observation station, the method including:
acquiring air pressure data and air temperature data of a weather observation station which operates for more than preset time, and preprocessing the air pressure data and the air temperature data by using a threshold limiting method;
performing statistical analysis index calculation according to the air pressure data of the meteorological observation station and the simulated air pressure data of the corresponding atmospheric numerical prediction mode to determine a first statistical analysis index, a second statistical analysis index and a third statistical analysis index;
determining correctness of longitude data and latitude data of the meteorological observation station according to the first statistical analysis index, the second statistical analysis index and the third statistical analysis index;
for a target meteorological observation station with correct longitude data and latitude data, calculating predicted altitude data according to air pressure data, air temperature data, actually-measured altitude data of the target meteorological observation station, and simulated altitude data and simulated air pressure data of a corresponding atmospheric numerical prediction mode;
and judging the correctness of the actually measured altitude data of the target meteorological observation station according to the difference value between the predicted altitude data and the actually measured altitude data.
For the meteorological observation station with incorrect longitude data, latitude data or altitude data, retest reminders can be output to the meteorological observation station, and the approval process of retest is started, so that retest can be ensured to be carried out.
In one embodiment, preferably, the performing a statistical analysis index calculation according to the air pressure data of the weather observation station and the simulated air pressure data of the corresponding atmospheric numerical prediction mode to determine a first statistical analysis index, a second statistical analysis index and a third statistical analysis index includes:
according to the air pressure data of the meteorological observation station and the simulated air pressure data of the corresponding atmospheric numerical prediction mode, the first statistical analysis index, the second statistical analysis index and the third statistical analysis index are calculated by adopting the following first formula:
wherein Index1(PRE) represents the first statistical analysis indicator, PRE (i) represents the air pressure data of the ith weather observation station, SimulatedPRE (i) represents the simulated air pressure data of the ith corresponding air numerical prediction mode, NUMPER represents the number of air pressure data of the weather observation stations, Index2(PRE) represents the second statistical analysis indicator, Index3(PRE) represents the third statistical analysis indicator, wherein the first statistical analysis index is used for representing the coincidence degree between the air pressure data sequence of the meteorological observation station and the simulated air pressure data sequence of the corresponding atmospheric numerical prediction mode in the preset time period, the first statistical analysis index is used for representing the standard deviation of a difference value sequence of an air pressure data sequence of a meteorological observation station and a simulated air pressure data sequence of a corresponding atmospheric numerical prediction mode in a preset time period; and the third statistical analysis index is used for representing the root mean square value of a difference value sequence of the air pressure data sequence of the meteorological observation station and the simulated air pressure data sequence of the corresponding atmospheric numerical prediction mode in a preset time period.
In one embodiment, preferably, the determining the correctness of the longitude data and the latitude data of the meteorological observation station according to the first statistical analysis index, the second statistical analysis index and the third statistical analysis index includes:
when the first statistical analysis index, the second statistical analysis index and the third statistical analysis index meet the following conditions, determining that longitude data and latitude data of the meteorological observation station are abnormal data, and otherwise, determining that the longitude data and the latitude data are normal data;
i Index1(PRE) | > 4 or
Index2(PRE) > 6 or
Index3(PRE)＞6
In one embodiment, the predicted altitude data is preferably calculated using the following second formula,
wherein H _ B represents simulated altitude data of an atmospheric numerical prediction mode corresponding to the target weather-observing station, PRES _ B represents simulated barometric pressure data of the atmospheric numerical prediction mode corresponding to the target weather-observing station, PRES represents barometric pressure data of the target weather-observing station, TEM1 represents air temperature data of the target weather-observing station, Alti represents measured altitude data of the target weather-observing station, and log _10 is a logarithmic function with a base 10.
In one embodiment, preferably, the determining the correctness of the measured altitude data of the target weather observation station according to the difference between the predicted altitude data and the measured altitude data includes:
and when the difference value between the predicted altitude data and the actually measured altitude data is larger than a preset threshold value, judging that the actually measured altitude data of the target meteorological observation station is incorrect.
According to a second aspect of the embodiments of the present disclosure, there is provided a three-dimensional spatial position correctness determination apparatus for a weather observation station, the apparatus including:
the system comprises a preprocessing module, a data acquisition module and a data processing module, wherein the preprocessing module is used for acquiring air pressure data and air temperature data of a weather observation station which operates for more than preset time, and preprocessing the air pressure data and the air temperature data by using a threshold limiting method;
the first calculation module is used for performing statistical analysis index calculation according to the air pressure data of the meteorological observation station and the simulated air pressure data of the corresponding atmospheric numerical prediction mode to determine a first statistical analysis index, a second statistical analysis index and a third statistical analysis index;
the determining module is used for determining the correctness of the longitude data and the latitude data of the meteorological observation station according to the first statistical analysis index, the second statistical analysis index and the third statistical analysis index;
the second calculation module is used for calculating predicted altitude data of a target meteorological observation station with correct longitude data and latitude data according to the air pressure data, the air temperature data, the actually-measured altitude data of the target meteorological observation station, and the simulated altitude data and the simulated air pressure data of the corresponding atmospheric numerical prediction mode;
and the judging module is used for judging the correctness of the actually measured altitude data of the target meteorological observation station according to the difference value between the predicted altitude data and the actually measured altitude data.
In one embodiment, preferably, the first calculation module is configured to:
according to the air pressure data of the meteorological observation station and the simulated air pressure data of the corresponding atmospheric numerical prediction mode, the first statistical analysis index, the second statistical analysis index and the third statistical analysis index are calculated by adopting the following first formula:
wherein Index1(PRE) represents the first statistical analysis indicator, PRE (i) represents the air pressure data of the ith weather observation station, SimulatedPRE (i) represents the simulated air pressure data of the ith corresponding air numerical prediction mode, NUMPER represents the number of air pressure data of the weather observation stations, Index2(PRE) represents the second statistical analysis indicator, Index3(PRE) represents the third statistical analysis indicator, wherein the first statistical analysis index is used for representing the coincidence degree between the air pressure data sequence of the meteorological observation station and the simulated air pressure data sequence of the corresponding atmospheric numerical prediction mode in the preset time period, the first statistical analysis index is used for representing the standard deviation of a difference value sequence of an air pressure data sequence of a meteorological observation station and a simulated air pressure data sequence of a corresponding atmospheric numerical prediction mode in a preset time period; the third statistical analysis index is used for representing the root mean square value of a difference value sequence of an air pressure data sequence of the meteorological observation station and a simulated air pressure data sequence of a corresponding atmospheric numerical prediction mode in a preset time period;
the determination module is to:
when the first statistical analysis index, the second statistical analysis index and the third statistical analysis index meet the following conditions, determining that longitude data and latitude data of the meteorological observation station are abnormal data, and otherwise, determining that the longitude data and the latitude data are normal data;
i Index1(PRE) | > 4 or
Index2(PRE) > 6 or
Index3(PRE)＞6
In one embodiment, the predicted altitude data is preferably calculated using the following second formula,
wherein H _ B represents simulated altitude data of an atmospheric numerical prediction mode corresponding to the target weather-observing station, PRES _ B represents simulated air pressure data of the atmospheric numerical prediction mode corresponding to the target weather-observing station, PRES represents air pressure data of the target weather-observing station, TEM1 represents air temperature data of the target weather-observing station, Alti represents measured altitude data of the target weather-observing station, and log _10 is a logarithmic function with a base 10;
the judging module is used for:
and when the difference value between the predicted altitude data and the actually measured altitude data is larger than a preset threshold value, judging that the actually measured altitude data of the target meteorological observation station is incorrect.
According to a third aspect of the embodiments of the present disclosure, there is provided a three-dimensional spatial position correctness determination apparatus for a weather observation station, the apparatus including:
a processor;
a memory for storing processor-executable instructions;
wherein the processor is configured to:
acquiring air pressure data and air temperature data of a weather observation station which operates for more than preset time, and preprocessing the air pressure data and the air temperature data by using a threshold limiting method;
performing statistical analysis index calculation according to the air pressure data of the meteorological observation station and the simulated air pressure data of the corresponding atmospheric numerical prediction mode to determine a first statistical analysis index, a second statistical analysis index and a third statistical analysis index;
determining correctness of longitude data and latitude data of the meteorological observation station according to the first statistical analysis index, the second statistical analysis index and the third statistical analysis index;
for a target meteorological observation station with correct longitude data and latitude data, calculating predicted altitude data according to air pressure data, air temperature data, actually-measured altitude data of the target meteorological observation station, and simulated altitude data and simulated air pressure data of a corresponding atmospheric numerical prediction mode;
and judging the correctness of the actually measured altitude data of the target meteorological observation station according to the difference value between the predicted altitude data and the actually measured altitude data.
According to a fourth aspect of embodiments of the present disclosure, there is provided a computer-readable storage medium having stored thereon computer instructions which, when executed by a processor, implement the steps of the method of any one of the first aspects.
The technical scheme provided by the embodiment of the disclosure can have the following beneficial effects:
in the embodiment of the invention, the air pressure data and the air temperature data of the weather observation station which has been operated for more than the preset time and the corresponding simulated air pressure data and simulated altitude data of the atmospheric numerical prediction mode are obtained, so that whether the longitude, the latitude and the altitude of the weather observation station are correct or not can be automatically judged, and the incorrect longitude, the latitude and the altitude of the weather observation station can be corrected in time.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present disclosure and together with the description, serve to explain the principles of the disclosure.
FIG. 1 is a flow chart illustrating a method for determining the correctness of the three-dimensional spatial position of a weather observation station according to an exemplary embodiment.
Fig. 2a and 2b are schematic diagrams showing incorrect longitude and latitude data of a certain weather observation station 1 according to an exemplary embodiment.
Fig. 3a and 3b are schematic diagrams illustrating incorrect longitude and latitude data for a certain weather-observing station 2 according to an exemplary embodiment.
Fig. 4a and 4b are schematic diagrams showing incorrect data of altitude for a certain weather-observing station 3 according to an exemplary embodiment.
Fig. 5a and 5b are schematic diagrams showing incorrect data for altitude for a certain weather-observing station 3, according to an exemplary embodiment.
FIG. 6 is a block diagram illustrating a three-dimensional spatial position correctness determination apparatus for a weather observation station according to an exemplary embodiment.
Detailed Description
Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, like numbers in different drawings represent the same or similar elements unless otherwise indicated. The implementations described in the exemplary embodiments below are not intended to represent all implementations consistent with the present disclosure. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the present disclosure, as detailed in the appended claims.
FIG. 1 is a flowchart illustrating a method for determining correctness of three-dimensional spatial positions of a weather observation station, according to an exemplary embodiment, as shown in FIG. 1, the method includes:
step S101, acquiring air pressure data and air temperature data of a weather observation station which runs for more than preset time, and preprocessing the air pressure data and the air temperature data by using a threshold limiting method;
the method comprises the following steps of preprocessing by using a threshold limiting method to remove obviously abnormal data, and retaining the data according to the following principle: the air pressure data value should be within the range of 300 to 1100 hPa; the temperature data value should be in the range of-55 deg.C to 55 deg.C.
Step S102, carrying out statistical analysis index calculation according to the air pressure data of the meteorological observation station and the simulated air pressure data of the corresponding atmospheric numerical prediction mode to determine a first statistical analysis index, a second statistical analysis index and a third statistical analysis index;
in one embodiment, preferably, the performing a statistical analysis index calculation according to the air pressure data of the weather observation station and the simulated air pressure data of the corresponding atmospheric numerical prediction mode to determine a first statistical analysis index, a second statistical analysis index and a third statistical analysis index includes:
according to the air pressure data of the meteorological observation station and the simulated air pressure data of the corresponding atmospheric numerical prediction mode, the first statistical analysis index, the second statistical analysis index and the third statistical analysis index are calculated by adopting the following first formula:
wherein Index1(PRE) represents the first statistical analysis indicator, PRE (i) represents the air pressure data of the ith weather observation station, SimulatedPRE (i) represents the simulated air pressure data of the ith corresponding air numerical prediction mode, NUMPER represents the number of air pressure data of the weather observation stations, Index2(PRE) represents the second statistical analysis indicator, Index3(PRE) represents the third statistical analysis indicator, wherein the first statistical analysis index is used for representing the coincidence degree between the air pressure data sequence of the meteorological observation station and the simulated air pressure data sequence of the corresponding atmospheric numerical prediction mode in the preset time period, the numerical value of the first statistical analysis index is inversely related to the coincidence degree, that is, a smaller value indicates a better matching degree, and if the longitude and latitude data are abnormal, the matching degree is poor, that is, the value of Index1 is high. The second statistical analysis Index is used for representing the standard deviation of the difference value sequence of the air pressure data sequence of the meteorological observation station and the simulated air pressure data sequence of the corresponding atmospheric numerical prediction mode in the preset time period, the smaller the value is, the smaller the deviation of the difference value sequence from the average value is, if the longitude and latitude data are abnormal, the larger the deviation of the difference value sequence from the average value is, namely, the value of Index2 is high. The third statistical analysis Index is used for representing the root mean square value of a difference value sequence of the air pressure data sequence of the weather observation station in the preset time period and the simulated air pressure data sequence of the corresponding atmospheric numerical prediction mode, and is also an Index reflecting the dispersion degree of the difference value sequence, the smaller the numerical value is, the smaller the dispersion degree of the difference value sequence is, if the longitude and latitude data are abnormal, the larger the root mean square value of the difference value sequence is, namely, the numerical value of Index3 is very high.
Step S103, determining the correctness of longitude data and latitude data of the meteorological observation station according to the first statistical analysis index, the second statistical analysis index and the third statistical analysis index;
in one embodiment, preferably, the determining the correctness of the longitude data and the latitude data of the meteorological observation station according to the first statistical analysis index, the second statistical analysis index and the third statistical analysis index includes:
when the first statistical analysis index, the second statistical analysis index and the third statistical analysis index meet the following conditions, determining that longitude data and latitude data of the meteorological observation station are abnormal data, and otherwise, determining that the longitude data and the latitude data are normal data;
i Index1(PRE) | > 4 or
Index2(PRE) > 6 or
Index3(PRE)＞6
Step S104, for a target meteorological observation station with correct longitude data and latitude data, calculating predicted altitude data according to air pressure data, air temperature data, actual measurement altitude data of the target meteorological observation station, and simulated altitude data and simulated air pressure data of a corresponding atmospheric numerical prediction mode;
in one embodiment, the predicted altitude data is preferably calculated using the following second formula,
wherein H _ B represents simulated altitude data of an atmospheric numerical prediction mode corresponding to the target weather-observing station, PRES _ B represents simulated barometric pressure data of the atmospheric numerical prediction mode corresponding to the target weather-observing station, PRES represents barometric pressure data of the target weather-observing station, TEM1 represents air temperature data of the target weather-observing station, Alti represents measured altitude data of the target weather-observing station, and log _10 is a logarithmic function with a base 10.
And step S105, judging the correctness of the actually measured altitude data of the target meteorological observation station according to the difference value between the predicted altitude data and the actually measured altitude data.
In one embodiment, preferably, the determining the correctness of the measured altitude data of the target weather observation station according to the difference between the predicted altitude data and the measured altitude data includes:
and when the difference value between the predicted altitude data and the actually measured altitude data is larger than a preset threshold value, judging that the actually measured altitude data of the target meteorological observation station is incorrect.
For example, if the preset threshold is 20m, the difference between the predicted altitude data and the measured altitude data is greater than 20m, that is, it is determined that the measured altitude data of the target weather-observing station is incorrect.
For the meteorological observation station with incorrect longitude, latitude and altitude data, the surrounding detection environment, the working state of the sensor and other multi-aspect information (such as experience data) of the station can be combined, a conclusion can be given after comprehensive judgment, and the longitude, the latitude and the altitude of the meteorological observation station with incorrect data can be corrected in time.
In the above embodiment, by acquiring the air pressure data and the air temperature data of the weather observation station that has been operated for more than the preset time, and the simulated air pressure data and the simulated altitude data of the atmospheric numerical prediction mode corresponding thereto, it is possible to automatically determine whether the longitude, the latitude, and the altitude of the weather observation station are correct, thereby correcting the longitude, the latitude, and the altitude of the weather observation station that are incorrect in time.
The above technical solution of the present invention is described in detail in a specific case.
Through the data processing and analyzing experiments of the correctness judgment test of the longitude, the latitude and the altitude of the national-level automatic station for more than one year, the invention is found that the metadata information of the observation station with wrong longitude, latitude or altitude can be effectively judged. The following are several cases:
(1) case 1 for determining correctness of latitude and longitude
The weather observation station longitude, latitude and altitude correctness judgment test analysis shows that the longitude and latitude information of a certain observation station 1 is abnormal as shown in fig. 2a and fig. 2b, and the longitude and latitude correctness judgment of the observation station is not passed. Fig. 2b shows the data of the station, wherein the longitude and latitude of the scribed lines are 46.4628 and 133.83, respectively, which are the error data determined by the method, and the normal longitude and latitude should be 41.8983 and 119.7131, respectively.
(2) Case 2 for determining correctness of latitude and longitude
The correctness of the longitude, the latitude and the altitude of the country-level automatic station is judged, the correctness of the longitude and the latitude of an observation station 2 is not judged, and the longitude and the latitude information of the station are displayed to be abnormal, which is shown in figure 3. The right side of fig. 3 shows the data of the station, wherein the longitude and latitude of the drawing are 33.4333 and 101.4833, respectively, which are the error data determined by the method, and the normal longitude and latitude should be 32.0667 and 121.6, respectively.
(3) Case 1 of altitude correctness determination
The longitude, latitude and altitude correctness judgment test analysis of the country-level automatic station finds that a certain observation station 3 does not pass through an altitude correctness judgment module of the observation station, and displays that the altitude information of the station is abnormal, as shown in fig. 4. The station altitude 1041.5m is shown on the left side of FIG. 4, which is the erroneous data identified by the method, and after repeated measurements, the altitude should be 1003.2 m.
(4) Case 2 for judging altitude correctness
The longitude, latitude and altitude correctness judgment test analysis of the country-level automatic station finds that a certain observation station 4 does not pass through an altitude correctness judgment module of the observation station, and displays that the altitude information of the station is abnormal, as shown in fig. 5. The left side of fig. 5 shows that the station has an altitude of 247.4m, which is the erroneous data identified by the method, and after repeated measurements, the altitude is found to be 219.7 m.
FIG. 6 is a block diagram illustrating a three-dimensional spatial position correctness determination apparatus for a weather observation station according to an exemplary embodiment.
As shown in fig. 6, according to a second aspect of the embodiments of the present disclosure, there is provided a three-dimensional spatial position correctness determination apparatus for a weather observation station, the apparatus including:
the preprocessing module 61 is used for acquiring air pressure data and air temperature data of a weather observation station which operates for more than preset time, and preprocessing the air pressure data and the air temperature data by using a threshold limiting method;
the first calculation module 62 is configured to perform statistical analysis index calculation according to the air pressure data of the weather observation station and the simulated air pressure data of the corresponding atmospheric numerical prediction mode to determine a first statistical analysis index, a second statistical analysis index, and a third statistical analysis index;
a determining module 63, configured to determine correctness of longitude data and latitude data of the weather observation station according to the first statistical analysis index, the second statistical analysis index, and the third statistical analysis index;
a second calculation module 64, configured to calculate, for a target weather observation station with correct longitude data and latitude data, predicted altitude data according to air pressure data, air temperature data, actual measurement altitude data of the target weather observation station, and simulated altitude data and simulated air pressure data of a corresponding atmospheric numerical prediction mode;
and the judging module 65 is configured to judge the correctness of the actual measurement altitude data of the target weather observation station according to the difference between the predicted altitude data and the actual measurement altitude data.
In one embodiment, the first calculation module 62 is preferably configured to:
according to the air pressure data of the meteorological observation station and the simulated air pressure data of the corresponding atmospheric numerical prediction mode, the first statistical analysis index, the second statistical analysis index and the third statistical analysis index are calculated by adopting the following first formula:
wherein Index1(PRE) represents the first statistical analysis indicator, PRE (i) represents the air pressure data of the ith weather observation station, SimulatedPRE (i) represents the simulated air pressure data of the ith corresponding air numerical prediction mode, NUMPER represents the number of air pressure data of the weather observation stations, Index2(PRE) represents the second statistical analysis indicator, Index3(PRE) represents the third statistical analysis indicator, wherein the first statistical analysis index is used for representing the coincidence degree between the air pressure data sequence of the meteorological observation station and the simulated air pressure data sequence of the corresponding atmospheric numerical prediction mode in the preset time period, the first statistical analysis index is used for representing the standard deviation of a difference value sequence of an air pressure data sequence of a meteorological observation station and a simulated air pressure data sequence of a corresponding atmospheric numerical prediction mode in a preset time period; the third statistical analysis index is used for representing the root mean square value of a difference value sequence of an air pressure data sequence of the meteorological observation station and a simulated air pressure data sequence of a corresponding atmospheric numerical prediction mode in a preset time period;
the determining module 63 is configured to:
when the first statistical analysis index, the second statistical analysis index and the third statistical analysis index meet the following conditions, determining that longitude data and latitude data of the meteorological observation station are abnormal data, and otherwise, determining that the longitude data and the latitude data are normal data;
i Index1(PRE) | > 4 or
Index2(PRE) > 6 or
Index3(PRE)＞6
In one embodiment, the predicted altitude data is preferably calculated using the following second formula,
wherein H _ B represents simulated altitude data of an atmospheric numerical prediction mode corresponding to the target weather-observing station, PRES _ B represents simulated air pressure data of the atmospheric numerical prediction mode corresponding to the target weather-observing station, PRES represents air pressure data of the target weather-observing station, TEM1 represents air temperature data of the target weather-observing station, Alti represents measured altitude data of the target weather-observing station, and log _10 is a logarithmic function with a base 10;
the judging module 65 is configured to:
and when the difference value between the predicted altitude data and the actually measured altitude data is larger than a preset threshold value, judging that the actually measured altitude data of the target meteorological observation station is incorrect.
According to a third aspect of the embodiments of the present disclosure, there is provided a three-dimensional spatial position correctness determination apparatus for a weather observation station, the apparatus including:
a processor;
a memory for storing processor-executable instructions;
wherein the processor is configured to:
acquiring air pressure data and air temperature data of a weather observation station which operates for more than preset time, and preprocessing the air pressure data and the air temperature data by using a threshold limiting method;
performing statistical analysis index calculation according to the air pressure data of the meteorological observation station and the simulated air pressure data of the corresponding atmospheric numerical prediction mode to determine a first statistical analysis index, a second statistical analysis index and a third statistical analysis index;
determining correctness of longitude data and latitude data of the meteorological observation station according to the first statistical analysis index, the second statistical analysis index and the third statistical analysis index;
for a target meteorological observation station with correct longitude data and latitude data, calculating predicted altitude data according to air pressure data, air temperature data, actually-measured altitude data of the target meteorological observation station, and simulated altitude data and simulated air pressure data of a corresponding atmospheric numerical prediction mode;
and judging the correctness of the actually measured altitude data of the target meteorological observation station according to the difference value between the predicted altitude data and the actually measured altitude data.
According to a fourth aspect of embodiments of the present disclosure, there is provided a computer-readable storage medium having stored thereon computer instructions which, when executed by a processor, implement the steps of the method of any one of the first aspects.
It is further understood that the use of "a plurality" in this disclosure means two or more, as other terms are analogous. "and/or" describes the association relationship of the associated objects, meaning that there may be three relationships, e.g., a and/or B, which may mean: a exists alone, A and B exist simultaneously, and B exists alone. The character "/" generally indicates that the former and latter associated objects are in an "or" relationship. The singular forms "a", "an", and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise.
It will be further understood that the terms "first," "second," and the like are used to describe various information and that such information should not be limited by these terms. These terms are only used to distinguish one type of information from another and do not denote a particular order or importance. Indeed, the terms "first," "second," and the like are fully interchangeable. For example, first information may also be referred to as second information, and similarly, second information may also be referred to as first information, without departing from the scope of the present disclosure.
It is further to be understood that while operations are depicted in the drawings in a particular order, this is not to be understood as requiring that such operations be performed in the particular order shown or in serial order, or that all illustrated operations be performed, to achieve desirable results. In certain environments, multitasking and parallel processing may be advantageous.
Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure disclosed herein. This application is intended to cover any variations, uses, or adaptations of the disclosure following, in general, the principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the disclosure being indicated by the following claims.
It will be understood that the present disclosure is not limited to the precise arrangements described above and shown in the drawings and that various modifications and changes may be made without departing from the scope thereof. The scope of the present disclosure is limited only by the appended claims.
Claims (10)
1. A method for judging the correctness of a three-dimensional space position of a meteorological observation station is characterized by comprising the following steps:
acquiring air pressure data and air temperature data of a weather observation station which operates for more than preset time, and preprocessing the air pressure data and the air temperature data by using a threshold limiting method;
performing statistical analysis index calculation according to the air pressure data of the meteorological observation station and the simulated air pressure data of the corresponding atmospheric numerical prediction mode to determine a first statistical analysis index, a second statistical analysis index and a third statistical analysis index;
determining correctness of longitude data and latitude data of the meteorological observation station according to the first statistical analysis index, the second statistical analysis index and the third statistical analysis index;
for a target meteorological observation station with correct longitude data and latitude data, calculating predicted altitude data according to air pressure data, air temperature data, actually-measured altitude data of the target meteorological observation station, and simulated altitude data and simulated air pressure data of a corresponding atmospheric numerical prediction mode;
and judging the correctness of the actually measured altitude data of the target meteorological observation station according to the difference value between the predicted altitude data and the actually measured altitude data.
2. The method of claim 1, wherein performing a statistical analysis indicator calculation based on the air pressure data of the weather observation station and the simulated air pressure data of the corresponding atmospheric numerical prediction mode to determine a first statistical analysis indicator, a second statistical analysis indicator, and a third statistical analysis indicator comprises:
according to the air pressure data of the meteorological observation station and the simulated air pressure data of the corresponding atmospheric numerical prediction mode, the first statistical analysis index, the second statistical analysis index and the third statistical analysis index are calculated by adopting the following first formula:
wherein Index1(PRE) represents the first statistical analysis indicator, PRE (i) represents the air pressure data of the ith weather observation station, SimulatedPRE (i) represents the simulated air pressure data of the ith corresponding air numerical prediction mode, NUMPER represents the number of air pressure data of the weather observation stations, Index2(PRE) represents the second statistical analysis indicator, Index3(PRE) represents the third statistical analysis indicator, wherein the first statistical analysis index is used for representing the coincidence degree between the air pressure data sequence of the meteorological observation station and the simulated air pressure data sequence of the corresponding atmospheric numerical prediction mode in the preset time period, the first statistical analysis index is used for representing the standard deviation of a difference value sequence of an air pressure data sequence of a meteorological observation station and a simulated air pressure data sequence of a corresponding atmospheric numerical prediction mode in a preset time period; and the third statistical analysis index is used for representing the root mean square value of a difference value sequence of the air pressure data sequence of the meteorological observation station and the simulated air pressure data sequence of the corresponding atmospheric numerical prediction mode in a preset time period.
3. The method of claim 1, wherein determining the correctness of the longitude data and the latitude data of the weather observation station according to the first statistical analysis index, the second statistical analysis index and the third statistical analysis index comprises:
when the first statistical analysis index, the second statistical analysis index and the third statistical analysis index meet the following conditions, determining that longitude data and latitude data of the meteorological observation station are abnormal data, and otherwise, determining that the longitude data and the latitude data are normal data;
i Index1(PRE) | > 4 or
Index2(PRE) > 6 or
Index3(PRE)＞6。
4. The method of claim 1, wherein said predicted altitude data is calculated using a second formula,
wherein H _ B represents simulated altitude data of an atmospheric numerical prediction mode corresponding to the target weather-observing station, PRES _ B represents simulated barometric pressure data of the atmospheric numerical prediction mode corresponding to the target weather-observing station, PRES represents barometric pressure data of the target weather-observing station, TEM1 represents air temperature data of the target weather-observing station, Alti represents measured altitude data of the target weather-observing station, and log _10 is a logarithmic function with a base 10.
5. The method of claim 1, wherein said determining the correctness of the measured altitude data of the target weather observation station based on the difference between the predicted altitude data and the measured altitude data comprises:
and when the difference value between the predicted altitude data and the actually measured altitude data is larger than a preset threshold value, judging that the actually measured altitude data of the target meteorological observation station is incorrect.
6. An apparatus for determining correctness of a three-dimensional spatial position of a weather observation station, the apparatus comprising:
the system comprises a preprocessing module, a data acquisition module and a data processing module, wherein the preprocessing module is used for acquiring air pressure data and air temperature data of a weather observation station which operates for more than preset time, and preprocessing the air pressure data and the air temperature data by using a threshold limiting method;
the first calculation module is used for performing statistical analysis index calculation according to the air pressure data of the meteorological observation station and the simulated air pressure data of the corresponding atmospheric numerical prediction mode to determine a first statistical analysis index, a second statistical analysis index and a third statistical analysis index;
the determining module is used for determining the correctness of the longitude data and the latitude data of the meteorological observation station according to the first statistical analysis index, the second statistical analysis index and the third statistical analysis index;
the second calculation module is used for calculating predicted altitude data of a target meteorological observation station with correct longitude data and latitude data according to the air pressure data, the air temperature data, the actually-measured altitude data of the target meteorological observation station, and the simulated altitude data and the simulated air pressure data of the corresponding atmospheric numerical prediction mode;
and the judging module is used for judging the correctness of the actually measured altitude data of the target meteorological observation station according to the difference value between the predicted altitude data and the actually measured altitude data.
7. The apparatus of claim 6, wherein the first computing module is configured to:
according to the air pressure data of the meteorological observation station and the simulated air pressure data of the corresponding atmospheric numerical prediction mode, the first statistical analysis index, the second statistical analysis index and the third statistical analysis index are calculated by adopting the following first formula:
wherein Index1(PRE) represents the first statistical analysis indicator, PRE (i) represents the air pressure data of the ith weather observation station, SimulatedPRE (i) represents the simulated air pressure data of the ith corresponding air numerical prediction mode, NUMPER represents the number of air pressure data of the weather observation stations, Index2(PRE) represents the second statistical analysis indicator, Index3(PRE) represents the third statistical analysis indicator, wherein the first statistical analysis index is used for representing the coincidence degree between the air pressure data sequence of the meteorological observation station and the simulated air pressure data sequence of the corresponding atmospheric numerical prediction mode in the preset time period, the first statistical analysis index is used for representing the standard deviation of a difference value sequence of an air pressure data sequence of a meteorological observation station and a simulated air pressure data sequence of a corresponding atmospheric numerical prediction mode in a preset time period; the third statistical analysis index is used for representing the root mean square value of a difference value sequence of an air pressure data sequence of the meteorological observation station and a simulated air pressure data sequence of a corresponding atmospheric numerical prediction mode in a preset time period;
the determination module is to:
when the first statistical analysis index, the second statistical analysis index and the third statistical analysis index meet the following conditions, determining that longitude data and latitude data of the meteorological observation station are abnormal data, and otherwise, determining that the longitude data and the latitude data are normal data;
i Index1(PRE) | > 4 or
Index2(PRE) > 6 or
Index3(PRE)＞6。
8. The apparatus of claim 6, wherein the predicted altitude data is calculated using a second formula,
wherein H _ B represents simulated altitude data of an atmospheric numerical prediction mode corresponding to the target weather-observing station, PRES _ B represents simulated air pressure data of the atmospheric numerical prediction mode corresponding to the target weather-observing station, PRES represents air pressure data of the target weather-observing station, TEM1 represents air temperature data of the target weather-observing station, Alti represents measured altitude data of the target weather-observing station, and log _10 is a logarithmic function with a base 10;
the judging module is used for:
and when the difference value between the predicted altitude data and the actually measured altitude data is larger than a preset threshold value, judging that the actually measured altitude data of the target meteorological observation station is incorrect.
9. An apparatus for determining correctness of a three-dimensional spatial position of a weather observation station, the apparatus comprising:
a processor;
a memory for storing processor-executable instructions;
wherein the processor is configured to:
acquiring air pressure data and air temperature data of a weather observation station which operates for more than preset time, and preprocessing the air pressure data and the air temperature data by using a threshold limiting method;
performing statistical analysis index calculation according to the air pressure data of the meteorological observation station and the simulated air pressure data of the corresponding atmospheric numerical prediction mode to determine a first statistical analysis index, a second statistical analysis index and a third statistical analysis index;
determining correctness of longitude data and latitude data of the meteorological observation station according to the first statistical analysis index, the second statistical analysis index and the third statistical analysis index;
for a target meteorological observation station with correct longitude data and latitude data, calculating predicted altitude data according to air pressure data, air temperature data, actually-measured altitude data of the target meteorological observation station, and simulated altitude data and simulated air pressure data of a corresponding atmospheric numerical prediction mode;
and judging the correctness of the actually measured altitude data of the target meteorological observation station according to the difference value between the predicted altitude data and the actually measured altitude data.
10. A computer-readable storage medium having stored thereon computer instructions, which, when executed by a processor, carry out the steps of the method according to any one of claims 1 to 5.
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