CN109146327B - Data quality evaluation method and system for temperature elements of ground observation station - Google Patents
Data quality evaluation method and system for temperature elements of ground observation station Download PDFInfo
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Abstract
The invention relates to a data quality evaluation method and a data quality evaluation system for atmospheric temperature elements of a ground observation station, wherein the data quality evaluation method for the atmospheric temperature elements of the ground observation station comprises the following steps: acquiring air temperature element data observed by a ground observation station and GRAPES mode product air temperature data corresponding to the air temperature element data; screening suspicious sites of the air temperature element data according to the air temperature element evaluation indexes; carrying out manual comprehensive diagnosis and judgment according to the site information of the suspicious sites to generate a suspicious site list; and generating a temperature element time sequence drawing and a temperature element evaluation monitoring report according to the suspicious site list. According to the technical scheme, the evaluation index statistical analysis can be performed on the quality of the air temperature element data, so that suspicious site problem data with low quality of the air temperature element data can be identified, the suspicious reasons can be analyzed and verified, and related quality improvement activities can be triggered as soon as possible.
Description
Technical Field
The invention relates to the technical field of meteorological observation data monitoring, in particular to a data quality evaluation method and a data quality evaluation system for atmospheric elements of a ground observation station.
Background
The observation data of the temperature elements of the ground observation station are meteorological data which are very important in the aspects of drought weather analysis, global climate change, agricultural meteorological service and the like, have been widely applied in different industry fields, and simultaneously provide required temperature data support for local department decision, extreme weather emergency, social stability and the like. The data quality evaluation and monitoring of the atmospheric temperature elements of the ground observation station is an important means for ensuring the data quality, quality and quantity.
Disclosure of Invention
The present invention is directed to solving at least one of the problems of the prior art or the related art.
Therefore, an object of the present invention is to provide a data quality evaluation method for climate elements of a ground observation station, which can perform statistical analysis on evaluation indexes of the data quality of the climate elements, further identify suspicious site problem data with low data quality of the climate elements, analyze and verify the suspicious reason, and trigger improvement of the data quality of the climate elements of the ground observation station as soon as possible.
Another object of the present invention is to provide a data quality evaluation system for temperature factors of a ground observation station, which can find and solve data quality problems from the source in time, and can further provide more reliable data support for backend applications.
In order to achieve the above object, a first aspect of the present invention provides a method for evaluating data quality of a climate element of a ground observation station, including: acquiring air temperature element data observed by a ground observation station and GRAPES mode product air temperature data corresponding to the air temperature element data; screening suspicious sites of the air temperature element data according to the air temperature element evaluation indexes; carrying out manual comprehensive diagnosis and judgment according to the site information of the suspicious sites to generate a suspicious site list; and generating a temperature element time sequence drawing and a temperature element evaluation monitoring report according to the suspicious site list.
In the technical scheme, by carrying out evaluation index statistical analysis on the quality of the air temperature element data, suspicious site problem data with low quality of the air temperature element data are identified, the suspicious reasons of the suspicious site problem data are analyzed and verified, and related quality improvement activities are triggered as soon as possible; the temperature element data and the temperature element evaluation of the ground observation station form complementary business process closed loops with links such as temperature data quality control, temperature data quality improvement, temperature data subsequent application and the like, can find and solve data quality problems from the source in time, and can further provide more credible data support for back-end application.
In the above technical solution, preferably, the station information includes at least one of longitude, latitude, elevation of the survey station, terrain height, surface vegetation and surface buildings of the ground observation station; and/or the list of suspicious sites includes at least one of a site number, a longitude, a latitude, an elevation of the survey station, and a climate element assessment indicator.
In any one of the above technical solutions, preferably, the screening of suspicious sites of the air temperature element data according to the air temperature element evaluation index includes: counting the temperature element data according to a temperature element evaluation statistical formula, and generating statistical data; screening the statistical data according to the temperature element evaluation threshold value, and generating suspicious data; and determining suspicious sites according to the suspicious data.
In any of the above technical solutions, preferably, the statistical formula for evaluating the air temperature elements is:
ΔTi＝TOi-TBi，
wherein NUMT is the number of non-default temperature element data, TOiIs the ith non-default temperature element data, TBiThe GRAPES mode product air temperature data corresponding to the air temperature element data,
is DeltaTiThe arithmetic mean of (a);
the air temperature element evaluation threshold is:
the technical scheme of the second aspect of the invention provides a data quality evaluation system for temperature elements of a ground observation station, which comprises: the system comprises an acquisition module, a storage module and a display module, wherein the acquisition module is used for acquiring air temperature element data observed by a ground observation station and GRAPES mode product air temperature data corresponding to the air temperature element data; the screening module is used for screening suspicious sites of the air temperature element data according to the air temperature element evaluation indexes; the judging module is used for carrying out manual comprehensive diagnosis and judgment according to the site information of the suspicious sites to generate a suspicious site list; and the output module is used for generating a temperature element time sequence drawing and a temperature element evaluation monitoring report according to the suspicious site list.
In the technical scheme, by carrying out evaluation index statistical analysis on the quality of the air temperature element data, suspicious site problem data with low quality of the air temperature element data are identified, the suspicious reasons of the suspicious site problem data are analyzed and verified, and related quality improvement activities are triggered as soon as possible; the temperature element data and the temperature element evaluation of the ground observation station form complementary business process closed loops with links such as temperature data quality control, temperature data quality improvement, temperature data subsequent application and the like, can find and solve data quality problems from the source in time, and can further provide more credible data support for back-end application.
In the above technical solution, preferably, the station information includes at least one of longitude, latitude, elevation of the survey station, terrain height, surface vegetation and surface buildings of the ground observation station; and/or the list of suspicious sites includes at least one of a site number, a longitude, a latitude, an elevation of the survey station, and a climate element assessment indicator.
In any of the above technical solutions, preferably, the screening module includes: the statistical unit is used for carrying out statistics on the air temperature element data according to the air temperature element evaluation statistical formula and generating statistical data; the screening unit is used for screening the statistical data according to the temperature factor evaluation threshold value and generating suspicious data; and the control unit is used for determining the suspicious site according to the suspicious data.
In any of the above technical solutions, preferably, the statistical formula for evaluating the air temperature elements is:
ΔTi＝TOi-TBi，
wherein NUMT is the number of non-default temperature element data, TOiIs the ith non-default temperature element data, TBiThe GRAPES mode product air temperature data corresponding to the air temperature element data,
is DeltaTiThe arithmetic mean of (a);
the air temperature element evaluation threshold is:
drawings
The above and/or additional aspects and advantages of the present invention will become apparent and readily appreciated from the following description of the embodiments, taken in conjunction with the accompanying drawings of which:
FIG. 1 is a block flow diagram illustrating a method for data quality assessment of a ground observation station air temperature element, in accordance with an embodiment of the present invention;
FIG. 2 is a block flow diagram illustrating a method for data quality assessment of a ground observation station air temperature component in accordance with another embodiment of the present invention;
FIG. 3 is a block diagram illustrating a data quality assessment system for ground observation station air temperature elements, in accordance with an embodiment of the present invention;
FIG. 4 shows a block diagram of the screening module of one embodiment of the present invention;
FIG. 5 is a time chart showing the observation of abnormal air temperature elements in small hours, which is recognized in embodiment 1 of the present invention;
fig. 6 shows an observation time chart of abnormal air temperature elements recognized in embodiment 2 of the present invention when the time is small.
Detailed Description
In order that the above objects, features and advantages of the present invention can be more clearly understood, a more particular description of the invention will be rendered by reference to the appended drawings. It should be noted that the embodiments and features of the embodiments of the present application may be combined with each other without conflict.
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention, however, the present invention may be practiced in other ways than those specifically described herein, and therefore the scope of the present invention is not limited to the specific embodiments disclosed below.
Data quality evaluation methods and systems for temperature elements of a ground observation station according to some embodiments of the present invention are described below with reference to fig. 1 to 6.
As shown in fig. 1, a method for evaluating data quality of temperature elements of a ground observation station according to an embodiment of the present invention includes:
s100, acquiring air temperature element data observed by a ground observation station and GRAPES mode product air temperature data corresponding to the air temperature element data;
s200, screening suspicious sites of the air temperature element data according to the air temperature element evaluation indexes;
s300, carrying out manual comprehensive diagnosis and judgment according to the site information of the suspicious sites to generate a suspicious site list;
and S400, generating a temperature element time sequence drawing and a temperature element evaluation monitoring report according to the suspicious site list.
In the embodiment, by carrying out evaluation index statistical analysis on the quality of the air temperature element data, suspicious site problem data with low quality of the air temperature element data is identified, the suspicious reasons are analyzed and verified, and related quality improvement activities are triggered as soon as possible; the temperature element data and the temperature element evaluation of the ground observation station form complementary business process closed loops with links such as temperature data quality control, temperature data quality improvement, temperature data subsequent application and the like, can find and solve data quality problems from the source in time, and can further provide more credible data support for back-end application.
Specifically, the site information includes at least one of longitude, latitude, station elevation, terrain height, surface vegetation, and surface buildings of the ground observation station; the list of suspicious sites includes at least one of a site number, a longitude, a latitude, a surveyed site altitude, and a climate element assessment indicator.
In the embodiment, the method comprises the steps of utilizing basic geographic information, a surrounding detection environment and the like of a ground observation station, utilizing expert experience and combining with air temperature element rule characteristics, station information of surrounding stations, mode regional performance, observation and mode space-time scale difference and other various information sources to screen out air temperature element suspicious stations for artificial comprehensive diagnosis and judgment, giving a judged suspicious station list, and finally communicating and verifying with ground observation station workers to identify data quality problems related to an observation system, such as abnormal air temperature sensors, station longitude and latitude errors and other problems.
The regional performance of the mode comprises that the prediction effects of the GRAPES global prediction system are different in different areas, for example, the prediction effect in the eastern area is relatively good, and the prediction effect in the western area (for example, Sichuan province) is relatively poor; the observation and mode space-time scale difference comprises the difference between the elevation of a measuring station of a ground observation station and the mode terrain height of the corresponding Grapes mode grid point.
As shown in fig. 2, a method for evaluating data quality of a climate element of a ground observation station according to another embodiment of the present invention, S200, for screening a suspicious site of the climate element data according to a climate element evaluation index, includes:
s201, counting the air temperature element data according to an air temperature element evaluation statistical formula, and generating statistical data;
s202, screening statistical data according to the temperature element evaluation threshold value, and generating suspicious data;
s203, determining suspicious sites according to the suspicious data.
Specifically, the evaluation monitoring statistical formula is as follows:
ΔTi＝TOi-TBi，
wherein NUMT is the number of non-default temperature element data, TOiTemperature element data, T, for the ith non-defective partBiThe GRAPES mode product air temperature data corresponding to the air temperature element data,
is DeltaTiIs an arithmetic mean value ofiTo obey the quality of random variables that are positively distributed;
the air temperature element evaluation threshold is:
in the embodiment, a GRAPES numerical prediction service product (namely, the air temperature data of a GRAPES mode product) in China is used as a comparison reference, an observation and mode deviation model is constructed, the quality of observation data of air temperature elements of an automatic station in China is quantitatively evaluated and monitored, suspicious site problem data with low air temperature element data quality is further identified, suspicious reasons are analyzed and verified, and related quality improvement activities are triggered as soon as possible.
What is the GRAPES global forecast system? And on day 1 and 6 months, a GRAPES global forecast system (GRAPES _ GFS V2.0) independently developed by the China weather administration is formally operated in a business mode and is issued nationwide.
Through evaluation, the overall performance index of the GRAPES global forecast system exceeds the current global business model system T639.
T639 is improved based on foreign data assimilation system and global model, and has less data, especially less than 30% of satellite data. The data application level of the GRAPES global numerical prediction system far exceeds T639, and the satellite data proportion reaches 70%. In addition, the GRAPES global numerical prediction system has obvious advantages in the aspect of high-quality assimilation technology of applied observation data, and has obvious advantages in the aspects of quality control and deviation correction technology when the observation data are assimilated. At present, the situation field forecasting time of the GRAPES global numerical forecasting system is longer, and the error of rain belt forecasting in a rain area is smaller.
It is worth mentioning that the short-term precipitation forecast capability of the Chinese area of the system is close to the European middle-term weather forecast center (ECMWF), and the mode null report problem is relieved; compared with the foreign model, the forecast situation of the rainfall in the China area, especially the forecast situation of the main rainfall area in the southeast China is closer to the actual situation.
The China weather bureau numerical forecasting center is expressed by the King of the Master and Job of King, the service operation of the GRAPES global forecasting system marks that the GRAPES global forecasting system realizes the conversion from a scientific research stage to a service operation stage. Meanwhile, the method is a new start for further optimization and innovation of the global numerical prediction mode independently researched and developed by China in combination with business practice feedback.
It is known that the GRAPES Global forecast System (GRAPES _ GFS V1.0) achieves quasi-business operation 3 months in 2009. In 2013, research and development personnel perform a series of technical improvements and optimizations on the system. After the system is upgraded, after two continuous years of back calculation tests, the GRAPES _ GFS V2.0 passes the China weather bureau forecast and the business evaluation of network department organization on 31 months in 2015. In order to meet the forecast service requirements, in the business operation preparation stage, a numerical forecasting center carries out a great deal of work in aspects of business system flow design, operation environment testing and the like in 2016 years, and satellite cloud picture products, strong convection diagnosis products, newly added cloud particle products and the like are developed aiming at forecast business development so as to meet the forecast service requirements in various aspects.
In the development process of the GRAPES global forecast system, the China weather service meteorological detection center and the national satellite meteorological center do a lot of work in the aspects of receiving and processing real-time observation data, and the high-quality data are ensured to enter the GRAPES global forecast system assimilation system; the national weather information center provides powerful guarantee for real-time data acquisition, high-performance calculation, timely product distribution and the like; the national weather center completes the work of the integration of the GRAPES global forecasting system products on a forecasting platform, the feedback of product trial and the like.
As shown in fig. 3, a system 1000 for evaluating data quality of temperature elements of a ground observation station according to another embodiment of the present invention includes:
an obtaining module 100, configured to obtain air temperature element data observed by a ground observation station and GRAPES mode product air temperature data corresponding to the air temperature element data;
the screening module 200 is used for screening suspicious sites of the air temperature element data according to the air temperature element evaluation indexes;
the judging module 300 is configured to perform manual comprehensive diagnosis and judgment according to the site information of the suspicious site, and generate a suspicious site list;
and the output module 400 is used for generating a temperature element time sequence drawing and a temperature element evaluation monitoring report according to the suspicious site list.
In the embodiment, by carrying out evaluation index statistical analysis on the quality of the air temperature element data, suspicious site problem data with low quality of the air temperature element data is identified, the suspicious reasons are analyzed and verified, and related quality improvement activities are triggered as soon as possible; the temperature element data and the temperature element evaluation of the ground observation station form complementary business process closed loops with links such as temperature data quality control, temperature data quality improvement, temperature data subsequent application and the like, can find and solve data quality problems from the source in time, and can further provide more credible data support for back-end application.
Specifically, the site information includes at least one of longitude, latitude, station elevation, terrain height, surface vegetation, and surface buildings of the ground observation station; the list of suspicious sites includes at least one of a site number, a longitude, a latitude, a surveyed site altitude, and a climate element assessment indicator.
In the embodiment, the screened suspected sites of the air temperature elements are subjected to artificial comprehensive diagnosis and judgment by utilizing the basic geographic information, the surrounding detection environment and the like of the ground observation station, a list of the determined suspected sites is given, and finally, data quality problems related to an observation system, such as air temperature sensor replacement, abnormal deviation of the air temperature sensor and the like, are identified by utilizing expert experience.
As shown in fig. 4, according to another embodiment of the system for evaluating data quality of temperature elements of a ground observation station, the screening module 200 includes:
a statistic unit 201, configured to count the air temperature element data according to the air temperature element evaluation statistic formula, and generate statistic data;
the screening unit 202 is used for screening the statistical data according to the temperature factor evaluation threshold value and generating suspicious data;
and the control unit 203 is used for determining the suspicious site according to the suspicious data.
Specifically, the statistical formula for temperature factor evaluation is as follows:
ΔTi＝TOi-TBi，
wherein NUMT is the number of temperature element data of the non-default test piece, TOiIs the ith non-default temperature element data, TBiThe GRAPES mode product air temperature data corresponding to the air temperature element data,
is DeltaTiIs an arithmetic mean value ofiTo obey the quality of random variables that are positively distributed;
the air temperature element evaluation threshold is:
in the embodiment, a GRAPES numerical prediction service product (namely, the air temperature data of a GRAPES mode product) in China is used as a comparison reference, an observation and mode deviation model is constructed, the quality of observation data of air temperature elements of an automatic station in China is quantitatively evaluated and monitored, suspicious site problem data with low air temperature element data quality is further identified, suspicious reasons are analyzed and verified, and related quality improvement activities are triggered as soon as possible.
The lack of measurement is one of the important indexes reflecting the integrity of the observed data, and the less the lack of measurement, the better the data amount, and the higher the integrity.
DETAILED DESCRIPTION OF EMBODIMENT (S) OF INVENTION
The method for evaluating the air temperature elements of the air temperature element data of the ground meteorological observation station based on the GRAPES mode product develops an evaluation monitoring test for more than one year, effectively identifies the quality of a plurality of items of air temperature element data related to an observation system, and improves the quality of the air temperature element data of the ground meteorological observation station as soon as possible through communication feedback with an observation station.
Example 1
Fig. 5 shows a timing chart of observation of abnormal air temperature elements in hours, which is recognized in embodiment 1 of the present invention, and it can be seen from the timing chart that there is a quality problem that the air temperature equipment is abnormal in the ground observation station, and the technician confirms that the air temperature detector of the ground observation station is being maintained.
Example 2
Fig. 6 shows an observation time chart of abnormal air temperature elements recognized in embodiment 2 of the present invention when hours, and it can be seen from the observation time chart that the ground observation station may have a quality problem of wrong longitude and latitude of a station, and the technical staff confirms that the information of longitude and latitude and the like of the ground observation station returns to normal from 3 to 6 days in 2017.
Climate special site algorithm applicability analysis
In order to better evaluate the quality evaluation monitoring algorithm of the air temperature element data of the ground meteorological observation station, 4 stations (Xinjiang, Sichuan Emei mountain, Sichuan Wenchang and Sichuan Ningnan) with special weather characteristics are selected for algorithm applicability analysis, the evaluation monitoring result of the air temperature element data of the ground meteorological observation station is displayed, and S (T) is lower than a discrimination limit by 6 ℃ (see table 1), which indicates that the weather is special and the 'misjudgment' of the quality evaluation monitoring algorithm of the air temperature element data of the ground meteorological observation station cannot be caused.
TABLE 1 evaluation results of air temperature of special sites based on Grapes model
In the present invention, the terms "first", "second", and "third" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance; the term "plurality" means two or more unless expressly limited otherwise. The terms "mounted," "connected," "fixed," and the like are to be construed broadly, and for example, "connected" may be a fixed connection, a removable connection, or an integral connection; "coupled" may be direct or indirect through an intermediary. The specific meanings of the above terms in the present invention can be understood by those skilled in the art according to specific situations.
In the description of the present invention, it is to be understood that the terms "upper", "lower", "left", "right", "front", "rear", and the like indicate orientations or positional relationships based on those shown in the drawings, and are only for convenience of description and simplification of description, but do not indicate or imply that the referred device or unit must have a specific direction, be constructed in a specific orientation, and be operated, and thus, should not be construed as limiting the present invention.
In the description herein, the description of the terms "one embodiment," "some embodiments," "specific embodiments," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (4)
1. A data quality evaluation method for temperature elements of a ground observation station is characterized by comprising the following steps:
acquiring air temperature element data observed by a ground observation station and GRAPES mode product air temperature data corresponding to the air temperature element data;
screening suspicious sites of the temperature element data according to the temperature element evaluation indexes, comprising the following steps:
counting the temperature element data according to a temperature element evaluation statistical formula, and generating statistical data;
the statistical formula for evaluating the air temperature elements is as follows:
ΔTi＝TOi-TBi，
wherein NUMT is the number of non-default temperature element data, TOiIs the ith non-default measured said temperature element data, TBiSaid GRAPES mode product air temperature data corresponding to said air temperature element data,
is DeltaTiThe arithmetic mean of (a);
screening the statistical data according to the temperature element evaluation threshold value, and generating suspicious data;
the air temperature element evaluation threshold is:
determining the suspicious site according to the suspicious data;
carrying out manual comprehensive diagnosis and judgment according to the site information of the suspicious sites to generate a suspicious site list;
and generating a temperature element time sequence drawing and a temperature element evaluation monitoring report according to the suspicious site list.
2. The method for estimating the data quality of the air temperature elements of the ground observation station according to the claim 1, characterized in that: the site information comprises at least one of a longitude, a latitude, a survey station altitude, a terrain height, surface vegetation, and surface buildings of the ground observation station; and/or
The list of suspicious sites includes at least one of a site number, a longitude, a latitude, a surveyed site altitude, and a climate element assessment indicator.
3. A system for evaluating the quality of data relating to air temperature components at a ground observation station, comprising:
the system comprises an acquisition module, a storage module and a processing module, wherein the acquisition module is used for acquiring air temperature element data observed by a ground observation station and GRAPES mode product air temperature data corresponding to the air temperature element data;
the screening module is used for screening suspicious sites of the air temperature element data according to the air temperature element evaluation indexes;
the screening module includes:
the statistical unit is used for carrying out statistics on the air temperature element data according to an air temperature element evaluation statistical formula and generating statistical data;
the statistical formula for evaluating the air temperature elements is as follows:
ΔTi＝TOi-TBi，
wherein NUMT is the number of non-default temperature element data, TOiFor the ith non-defective testThe temperature element data, TBiSaid GRAPES mode product air temperature data corresponding to said air temperature element data,
is DeltaTiThe arithmetic mean of (a);
the screening unit is used for screening the statistical data according to the temperature element evaluation threshold value and generating suspicious data;
the air temperature element evaluation threshold is:
the control unit is used for determining the suspicious site according to the suspicious data;
the judging module is used for carrying out manual comprehensive diagnosis and judgment according to the site information of the suspicious sites to generate a suspicious site list;
and the output module is used for generating a temperature element time sequence drawing and a temperature element evaluation monitoring report according to the suspicious site list.
4. The system for estimating the data quality of the air temperature elements of the ground observation station according to claim 3, characterized in that: the site information comprises at least one of a longitude, a latitude, a survey station altitude, a terrain height, surface vegetation, and surface buildings of the ground observation station; and/or
The list of suspicious sites includes at least one of a site number, a longitude, a latitude, a surveyed site altitude, and a climate element assessment indicator.
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| CN113095690B (en) * | 2021-04-16 | 2023-07-25 | 中国气象局气象探测中心 | Quality rolling evaluation method and device for basic elements of ground observation station |
| CN114563111B (en) * | 2022-04-30 | 2022-07-22 | 江西省气象信息中心(江西省气象培训中心、江西省农村经济信息中心) | Method, system, device and storage medium for evaluating health degree of air temperature observation device |
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