CN109146327A - A kind of Data Quality Assessment Methodology and system of surface-based observing station temperature element - Google Patents
A kind of Data Quality Assessment Methodology and system of surface-based observing station temperature element Download PDFInfo
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Abstract
The present invention relates to the Data Quality Assessment Methodologies and system of a kind of surface-based observing station temperature element, wherein, the Data Quality Assessment Methodology of surface-based observing station temperature element, comprising: obtain the temperature factor data of surface-based observing station observation and the GRAPES Model Products temperature record corresponding to temperature factor data；The suspicious website of temperature factor data is screened according to temperature element evaluation index；Artificial comprehensive diagnosis is carried out according to the site information of suspicious website to differentiate, generates suspicious site list；Temperature element time series is generated according to suspicious site list to draw and temperature element assessment monitoring report.In the inventive solutions, evaluation index statistical analysis can be carried out to temperature factor data quality, and then identifying the low-quality suspicious station problem data of temperature factor data, its suspected cause is verified in analysis, and triggers relevant quality improvement activity as soon as possible.
Description
Technical field
The present invention relates to meteorological measuring monitoring technology field more particularly to a kind of numbers of surface-based observing station temperature element
According to method for evaluating quality and a kind of data quality accessment system of surface-based observing station temperature element.
Background technique
It is to dry weather analysis, Global climate change, agriculture meteorological service that surface-based observing station temperature element, which observes data,
Etc. very important meteorological data, have extensive use in different industries field, also simultaneously for local sector's decision,
Temperature record needed for extreme weather emergency, social stability etc. provide supports.And the quality of data of surface-based observing station temperature element
Assessment monitoring is just being to ensure that the important means that its quality of data is guaranteed both quality and quantity.
Summary of the invention
The present invention is directed to solve at least one of the technical problems existing in the prior art or related technologies.
For this purpose, it is an object of the present invention to provide a kind of data quality accessment sides of surface-based observing station temperature element
Method can carry out evaluation index statistical analysis to temperature factor data quality, and then identify that temperature factor data quality is low
Suspicious station problem data, analysis verify its suspected cause, and as soon as possible trigger surface-based observing station temperature factor data quality
It improves.
It is another object of the present invention to provide a kind of data quality accessment system of surface-based observing station temperature element,
It can find in time and solve data quality problem from source, also may further be backend application and more believable data are provided
Support.
To achieve the above object, the technical solution of first aspect present invention provides a kind of surface-based observing station temperature element
Data Quality Assessment Methodology, comprising: obtain the temperature factor data of surface-based observing station observation and correspond to temperature factor data
GRAPES Model Products temperature record；The suspicious website of temperature factor data is screened according to temperature element evaluation index；According to
The site information of suspicious website carries out artificial comprehensive diagnosis and differentiates, generates suspicious site list；It is generated according to suspicious site list
Temperature element time series is drawn and temperature element assesses monitoring report.
In the technical scheme, it by carrying out evaluation index statistical analysis to temperature factor data quality, and then identifies
The low-quality suspicious station problem data of temperature factor data, its suspected cause is verified in analysis, and triggers relevant matter as soon as possible
Measure improvement activity；Surface-based observing station temperature factor data temperature element assessment, with the control of temperature record quality, temperature record quality
The links such as improvement, temperature record subsequent applications form complementary operation flow closed loop, can find in time and from source
Upper solution data quality problem also may further be backend application and provide more believable data supporting.
In the above-mentioned technical solutions, it is preferable that site information includes the longitude, latitude, survey station height above sea level of surface-based observing station
At least one of degree, Terrain Elevation, surface vegetation and surface buildings；And/or suspicious site list include station number, longitude,
At least one of latitude, survey station height above sea level and temperature element evaluation index；And/or it includes suspicious website that suspicious website, which is drawn,
Time series chart and/or geographic distribution.
In any of the above-described technical solution, it is preferable that according to temperature element evaluation index screen temperature factor data can
Doubt website, comprising: statistical formula is assessed according to temperature element and is counted to temperature factor data, and generates statistical data；Root
Statistical data is screened according to temperature element assessment threshold value, and generates suspicious data；Suspicious website is determined according to suspicious data.
In any of the above-described technical solution, it is preferable that temperature element assesses statistical formula are as follows:
ΔTi=TOi-TBi,
Wherein, NUMT is the temperature factor data number of non-scarce survey, TOiFor the temperature factor data of i-th of non-scarce survey, TBi
For the GRAPES Model Products temperature record of corresponding temperature factor data,For Δ TiArithmetic mean of instantaneous value；
Temperature element assesses threshold value are as follows:
The technical solution of second aspect of the present invention provides a kind of data quality accessment system of surface-based observing station temperature element
System, comprising: module is obtained, for obtaining the temperature factor data of surface-based observing station observation and corresponding to temperature factor data
GRAPES Model Products temperature record；Screening module, for according to temperature element evaluation index screen temperature factor data can
Doubt website；Judgment module differentiates for carrying out artificial comprehensive diagnosis according to the site information of suspicious website, generates suspicious website column
Table；Output module, for being generated according to suspicious site list, temperature element time series is drawn and temperature element assesses monitoring report
It accuses.
In the technical scheme, it by carrying out evaluation index statistical analysis to temperature factor data quality, and then identifies
The low-quality suspicious station problem data of temperature factor data, its suspected cause is verified in analysis, and triggers relevant matter as soon as possible
Measure improvement activity；Surface-based observing station temperature factor data temperature element assessment, with the control of temperature record quality, temperature record quality
The links such as improvement, temperature record subsequent applications form complementary operation flow closed loop, can find in time and from source
Upper solution data quality problem also may further be backend application and provide more believable data supporting.
In the above-mentioned technical solutions, it is preferable that site information includes the longitude, latitude, survey station height above sea level of surface-based observing station
At least one of degree, Terrain Elevation, surface vegetation and surface buildings；And/or suspicious site list include station number, longitude,
At least one of latitude, survey station height above sea level and temperature element evaluation index；And/or it includes suspicious website that suspicious website, which is drawn,
Time series chart and/or geographic distribution.
In any of the above-described technical solution, it is preferable that screening module includes: statistic unit, for being commented according to temperature element
Estimate statistical formula to count temperature factor data, and generates statistical data；Screening unit, for being assessed according to temperature element
Threshold value screens statistical data, and generates suspicious data；Control unit, for determining suspicious website according to suspicious data.
In any of the above-described technical solution, it is preferable that temperature element assesses statistical formula are as follows:
ΔTi=TOi-TBi,
Wherein, NUMT is the temperature factor data number of non-scarce survey, TOiFor the temperature factor data of i-th of non-scarce survey, TBi
For the GRAPES Model Products temperature record of corresponding temperature factor data,For Δ TiArithmetic mean of instantaneous value；
Temperature element assesses threshold value are as follows:
Detailed description of the invention
Above-mentioned and/or additional aspect of the invention and advantage will become from the description of the embodiment in conjunction with the following figures
Obviously and it is readily appreciated that, in which:
Fig. 1 shows the stream of the Data Quality Assessment Methodology of the surface-based observing station temperature element of one embodiment of the present of invention
Journey block diagram；
Fig. 2 shows the Data Quality Assessment Methodologies of the surface-based observing station temperature element of another embodiment of the invention
Flow diagram；
Fig. 3 shows the knot of the data quality accessment system of the surface-based observing station temperature element of one embodiment of the present of invention
Structure block diagram；
Fig. 4 shows the structural block diagram of the screening module of one embodiment of the present of invention；
The Abnormal Temperature element hour that the embodiment of the present invention 1 that Fig. 5 shows identifies observes timing diagram；
The Abnormal Temperature element hour that the embodiment of the present invention 2 that Fig. 6 shows identifies observes timing diagram.
Specific embodiment
To better understand the objects, features and advantages of the present invention, with reference to the accompanying drawing and specific real
Applying mode, the present invention is further described in detail.It should be noted that in the absence of conflict, the implementation of the application
Feature in example and embodiment can be combined with each other.
In the following description, numerous specific details are set forth in order to facilitate a full understanding of the present invention, still, the present invention may be used also
To be implemented using other than the one described here other modes, therefore, protection scope of the present invention is not limited to following public affairs
The limitation for the specific embodiment opened.
It is commented referring to Fig. 1 to Fig. 6 quality of data for describing the surface-based observing station temperature element of some embodiments of the invention
Estimate method and system.
As shown in Figure 1, the Data Quality Assessment Methodology of the surface-based observing station temperature element according to one embodiment of the invention,
Include:
S100 obtains the temperature factor data of surface-based observing station observation and the GRAPES mould corresponding to temperature factor data
Formula product temperature record；
S200 screens the suspicious website of temperature factor data according to temperature element evaluation index；
S300 carries out artificial comprehensive diagnosis according to the site information of suspicious website and differentiates, generates suspicious site list；
S400 generates temperature element time series according to suspicious site list and draws and temperature element assessment monitoring report.
In this embodiment, by carrying out evaluation index statistical analysis to temperature factor data quality, and then outlet is identified
The warm low-quality suspicious station problem data of factor data, its suspected cause is verified in analysis, and triggers relevant quality as soon as possible
Improvement activity；The assessment of surface-based observing station temperature factor data temperature element changes with the control of temperature record quality, temperature record quality
Complementary operation flow closed loop is formd into links such as, temperature record subsequent applications, can be found in time and from source
Data quality problem is solved, backend application is also may further be and more believable data supporting is provided.
Specifically, site information includes longitude, latitude, survey station height above sea level, the Terrain Elevation, earth's surface plant of surface-based observing station
At least one of quilt and surface buildings；Suspicious site list includes station number, longitude, latitude, survey station height above sea level and temperature
At least one of element evaluation index；It includes suspicious website time series chart and/or geographic distribution that suspicious website, which is drawn,.
In this embodiment, using the Fundamental Geographic Information System of surface-based observing station, periphery detection environment etc., expertise is utilized
And combine temperature element law characteristic, the site information of periphery website, mode region sex expression, observation and mode spatial and temporal scales poor
The suspicious website of temperature element that different equal multiple information sources filter out carries out artificial comprehensive diagnosis and differentiates, provides the suspicious station after determining
Point list is finally linked up with surface-based observing station station staff and is verified, identifies that the quality of data related with observation system is asked
Topic, such as the problems such as air-temperature sensor is abnormal, website longitude and latitude mistake.
Wherein, mode region sex expression includes that the value of forecasting of the GRAPES Global Forecast System in different regions is different, example
If the eastern region value of forecasting is relatively preferable, the value of forecasting in west area (such as Sichuan Province) is relatively poor；Observation and mould
Formula spatial and temporal scales difference includes the survey station height above sea level of surface-based observing station and the model topography height of corresponding Grapes mode lattice point
Spend difference.
As shown in Fig. 2, the data quality accessment side of the surface-based observing station temperature element according to another embodiment of the present invention
Method, S200 screen the suspicious website of temperature factor data according to temperature element evaluation index, comprising:
S201 assesses statistical formula according to temperature element and counts to temperature factor data, and generates statistical data；
S202 assesses threshold value according to temperature element and screens to statistical data, and generates suspicious data；
S203 determines suspicious website according to suspicious data.
Specifically, monitoring and statistics formula is assessed are as follows:
ΔTi=TOi-TBi,
Wherein, NUMT is the temperature factor data number of non-scarce survey, TOiFor i-th it is non-it is scarce survey part temperature factor data,
TBiFor the GRAPES Model Products temperature record of corresponding temperature factor data,For Δ TiArithmetic mean of instantaneous value, Δ TiTo obey
The stochastic variable quality being just distributed very much；
Temperature element assesses threshold value are as follows:
In this embodiment, China GRAPES numerical forecast service product (i.e. GRAPES Model Products temperature record) is utilized
Benchmark as a comparison, building observation and model deviation model are quantitatively evaluated monitoring China ground automatic Weather Station temperature element and observe number
According to quality, and then identify the low-quality suspicious station problem data of temperature factor data, its suspected cause is verified in analysis, and to the greatest extent
Relevant quality improvement activity is triggered fastly.
What is GRAPES Global Forecast System? June 1, the GRAPES global prediction system of China Meteorological Administration's independent research
The formal businessization of system (GRAPES_GFS V2.0), which runs and orients towards the whole country, issues product.
Evaluated, GRAPES Global Forecast System indicators of overall performance is more than existing world business modular system T639.
T639 is improved on the basis of foreign data assimilation system and Global Model, and data used is less, especially
It is that satellite data accounting is no more than 30%.And the logging data application level of GRAPES global numerical forecast system is considerably beyond T639,
Satellite data accounting reaches 70%.In addition, GRAPES global numerical forecast system assimilates skill in the high quality of application observational data
It also has a clear superiority in terms of art, it is with the obvious advantage in terms of quality control and deviation Correction Technology when assimilating observational data.Mesh
Before, the situation field prediction timeliness of GRAPES global numerical forecast system is longer, and the error of rain belt rain band forecast is smaller.
It is noted that the regional Short-term Rainfall Prediction ability of the system has been approached in European medium-range forecast
The heart (ECMWF), mode sky report problem have been eased；Compared with state's external schema, regional precipitation forecast situation, especially in
The main precipitation area forecast situation in the state southeast and fact are more close.
China Meteorological Administration numerical forecast Chief of Centre king builds prompt expression, and the businessization of GRAPES Global Forecast System is run,
Indicate that GRAPES Global Forecast System realizes the transformation from the scientific research stage to the service operation stage.Meanwhile this be also China from
The global numerical Forecast Mode combination business practice feedback of main research and development carries out the new beginning for advanced optimizing innovation.
It is reported that GRAPES Global Forecast System (GRAPES_GFS V1.0) realizes quasi- service operation in March, 2009.
2013, research staff was to the system have been a series of technological improvements and optimizations.After system upgrade, by continuous 2 years return
Test, on December 31st, 2015 are calculated, GRAPES_GFS V2.0 is commented by China Meteorological Administration's forecast and the business of network department tissue
It examines.In order to meet reporting services demand, since 2016, the preparatory stage is run in businessization, numerical forecast center is in business system
The process design, running environment test etc. of uniting carry out extensive work, and develop for forecasts services, develop satellite cloud picture production
Product, strong convection diagnostic products, newly increase cloud particle product etc., to meet many-sided reporting services demand.
In GRAPES Global Forecast System R&D process, in Meteorological Observation Centre of CMA, national satellite meteorolo-gy
The heart receives in real-time observational data, does a lot of work in terms of processing, ensures that high-quality data enters GRAPES Global Forecast System
Assimilation system；China Meteorological Administration is that data obtains in real time, high-performance calculation, product are distributed in time etc. and is provided with to try hard to keep
Barrier；National Meteorological Center then completes GRAPES Global Forecast System product in the integrated of forecast platform, feedback of product beta test etc.
Work.
As shown in figure 3, the data quality accessment system of the surface-based observing station temperature element according to another embodiment of the present invention
System 1000, comprising:
Module 100 is obtained, for obtaining the temperature factor data of surface-based observing station observation and wanting prime number corresponding to temperature
According to GRAPES Model Products temperature record；
Screening module 200, for screening the suspicious website of temperature factor data according to temperature element evaluation index；
Judgment module 300 differentiates for carrying out artificial comprehensive diagnosis according to the site information of suspicious website, generates suspicious station
Point list；
Output module 400, for being generated according to suspicious site list, temperature element time series is drawn and temperature element is commented
Estimate monitoring report.
In this embodiment, by carrying out evaluation index statistical analysis to temperature factor data quality, and then outlet is identified
The warm low-quality suspicious station problem data of factor data, its suspected cause is verified in analysis, and triggers relevant quality as soon as possible
Improvement activity；The assessment of surface-based observing station temperature factor data temperature element changes with the control of temperature record quality, temperature record quality
Complementary operation flow closed loop is formd into links such as, temperature record subsequent applications, can be found in time and from source
Data quality problem is solved, backend application is also may further be and more believable data supporting is provided.
Specifically, site information includes longitude, latitude, survey station height above sea level, the Terrain Elevation, earth's surface plant of surface-based observing station
At least one of quilt and surface buildings；Suspicious site list includes station number, longitude, latitude, survey station height above sea level and temperature
At least one of element evaluation index；It includes suspicious website time series chart and/or geographic distribution that suspicious website, which is drawn,.
In this embodiment, using the Fundamental Geographic Information System of surface-based observing station, periphery detection environment etc. to the gas filtered out
The warm suspicious website of element carries out artificial comprehensive diagnosis and differentiates, provides the suspicious site list after determining, finally utilizes expertise
The problems such as identifying data quality problem related with observation system, being deviated extremely such as air-temperature sensor replacement, air-temperature sensor.
As shown in figure 4, the data quality accessment system of the surface-based observing station temperature element according to another embodiment of the present invention
System, screening module 200 include:
Statistic unit 201 counts temperature factor data for assessing statistical formula according to temperature element, and generates
Statistical data；
Screening unit 202 screens statistical data for assessing threshold value according to temperature element, and generates suspicious number
According to；
Control unit 203, for determining suspicious website according to suspicious data.
Specifically, temperature element assesses statistical formula are as follows:
ΔTi=TOi-TBi,
Wherein, NUMT is the non-scarce temperature factor data number for surveying part, TOiFor the temperature factor data of i-th of non-scarce survey,
TBiFor the GRAPES Model Products temperature record of corresponding temperature factor data,For Δ TiArithmetic mean of instantaneous value, Δ TiTo obey
The stochastic variable quality being just distributed very much；
Temperature element assesses threshold value are as follows:
In this embodiment, China GRAPES numerical forecast service product (i.e. GRAPES Model Products temperature record) is utilized
Benchmark as a comparison, building observation and model deviation model are quantitatively evaluated monitoring China ground automatic Weather Station temperature element and observe number
According to quality, and then identify the low-quality suspicious station problem data of temperature factor data, its suspected cause is verified in analysis, and to the greatest extent
Relevant quality improvement activity is triggered fastly.
Wherein, lacking and surveying situation is to reflect one of the important indicator of observational data integrality, lacks and measures bright data volume of more saving your breath
Better, integrity degree is relatively higher.
Specific embodiment
Surface weather observation station temperature factor data temperature element appraisal procedure based on GRAPES Model Products has been carried out
Assessment monitoring test more than a year by a definite date effectively identifies multinomial temperature factor data quality related with observation system, and leads to
It crosses and improves surface weather observation station temperature factor data quality as early as possible with the communication feedback of the observation station.
Embodiment 1
Abnormal Temperature element hour that the embodiment of the present invention 1 that Fig. 5 shows identifies observes timing diagram, can be with by the figure
Find out, surface-based observing station confirms there may be the quality problems of temperature unit exception through technical staff, the temperature of surface-based observing station
Detector is Under Repair.
Embodiment 2
Abnormal Temperature element hour that the embodiment of the present invention 2 that Fig. 6 shows identifies observes timing diagram, can be with by the figure
Find out, surface-based observing station confirms there may be the quality problems of website longitude and latitude mistake through technical staff, and surface-based observing station is certainly
The Information recoverings such as longitude and latitude are normal from March 6th, 2017.
The special website algorithm applicability analysis of weather
Preferably to evaluate surface weather observation station temperature factor data quality evaluation monitoring algorithm, choose climate characteristic compared with
Algorithm applicability analysis, ground are carried out for special 4 websites (in area of Tarim in Xinjiang, Mount Emei, sichuan, China, Xichang Sichuan, Sichuan Ningnan)
Observation station temperature element assessment monitoring result shows that S (T), which is below, differentiates 6 DEG C of boundary (being shown in Table 1), shows that weather is special not
It can cause " erroneous judgement " of surface weather observation station temperature factor data quality evaluation monitoring algorithm.
The special website of table 1 is based on Grapes mode temperature assessment result
In the present invention, term " first ", " second ", " third " are only used for the purpose of description, and should not be understood as indicating
Or imply relative importance；Term " multiple " then refers to two or more, unless otherwise restricted clearly.Term " installation ",
The terms such as " connected ", " connection ", " fixation " shall be understood in a broad sense, for example, " connection " may be a fixed connection, being also possible to can
Dismantling connection, or be integrally connected；" connected " can be directly connected, can also be indirectly connected through an intermediary.For this
For the those of ordinary skill in field, the specific meanings of the above terms in the present invention can be understood according to specific conditions.
In description of the invention, it is to be understood that the instructions such as term " on ", "lower", "left", "right", "front", "rear"
Orientation or positional relationship is to be based on the orientation or positional relationship shown in the drawings, and is merely for convenience of the description present invention and simplification is retouched
It states, rather than the device or unit of indication or suggestion meaning must have specific direction, be constructed and operated in a specific orientation,
It is thus impossible to be interpreted as limitation of the present invention.
In the description of this specification, the description of term " one embodiment ", " some embodiments ", " specific embodiment " etc.
Mean that particular features, structures, materials, or characteristics described in conjunction with this embodiment or example are contained at least one reality of the invention
It applies in example or example.In the present specification, schematic expression of the above terms are not necessarily referring to identical embodiment or reality
Example.Moreover, description particular features, structures, materials, or characteristics can in any one or more of the embodiments or examples with
Suitable mode combines.
The foregoing is only a preferred embodiment of the present invention, is not intended to restrict the invention, for the skill of this field
For art personnel, the invention may be variously modified and varied.All within the spirits and principles of the present invention, made any to repair
Change, equivalent replacement, improvement etc., should all be included in the protection scope of the present invention.
Claims (8)
1. a kind of Data Quality Assessment Methodology of surface-based observing station temperature element characterized by comprising
It obtains the temperature factor data of surface-based observing station observation and the GRAPES mode corresponding to the temperature factor data produces
Product temperature record；
The suspicious website of the temperature factor data is screened according to temperature element evaluation index；
Artificial comprehensive diagnosis is carried out according to the site information of the suspicious website to differentiate, generates suspicious site list；
Suspicious website is generated according to the suspicious site list to draw and temperature element assessment monitoring report.
2. the Data Quality Assessment Methodology of surface-based observing station temperature element according to claim 1, it is characterised in that: described
Site information includes that longitude, latitude, survey station height above sea level, Terrain Elevation, surface vegetation and the earth's surface of the surface-based observing station are built
Build at least one of object；And/or
The suspicious site list include in station number, longitude, latitude, survey station height above sea level and temperature element evaluation index at least
It is a kind of；And/or
It includes suspicious website time series chart and/or geographic distribution that the suspicious website, which is drawn,.
3. the Data Quality Assessment Methodology of surface-based observing station temperature element according to claim 1 or 2, it is characterised in that:
The suspicious website of the temperature factor data is screened according to temperature element evaluation index, comprising:
Statistical formula is assessed according to temperature element to count the temperature factor data, and generates statistical data；
Threshold value is assessed according to temperature element to screen the statistical data, and generates suspicious data；
The suspicious website is determined according to the suspicious data.
4. the Data Quality Assessment Methodology of surface-based observing station temperature element according to claim 3, it is characterised in that:
The temperature element assesses statistical formula are as follows:
ΔTi=TOi-TBi,
Wherein, NUMT is the temperature factor data number of non-scarce survey, TOiFor the temperature factor data of i-th of non-scarce survey, TBi
For the GRAPES Model Products temperature record of the correspondence temperature factor data,For Δ TiArithmetic mean of instantaneous value；
The temperature element assesses threshold value are as follows:
5. a kind of data quality accessment system of surface-based observing station temperature element characterized by comprising
Module is obtained, for obtaining the temperature factor data of surface-based observing station observation and corresponding to the temperature factor data
GRAPES Model Products temperature record；
Screening module, for screening the suspicious website of the temperature factor data according to temperature element evaluation index；
Judgment module differentiates for carrying out artificial comprehensive diagnosis according to the site information of the suspicious website, generates suspicious website
List；
Output module, for being generated according to the suspicious site list, temperature element is drawn and temperature element assesses monitoring report.
6. the data quality accessment system of surface-based observing station temperature element according to claim 5, it is characterised in that: described
Site information includes that longitude, latitude, survey station height above sea level, Terrain Elevation, surface vegetation and the earth's surface of the surface-based observing station are built
Build at least one of object；And/or
The suspicious site list include in station number, longitude, latitude, survey station height above sea level and temperature element evaluation index at least
It is a kind of；And/or
It includes suspicious website time series chart and/or geographic distribution that the suspicious website, which is drawn,.
7. the data quality accessment system of surface-based observing station temperature element according to claim 5 or 6, it is characterised in that:
The screening module includes:
Statistic unit counts the temperature factor data for assessing statistical formula according to temperature element, and generates system
It counts；
Screening unit screens the statistical data for assessing threshold value according to temperature element, and generates suspicious data；
Control unit, for determining the suspicious website according to the suspicious data.
8. the data quality accessment system of surface-based observing station temperature element according to claim 7, it is characterised in that:
The temperature element assesses statistical formula are as follows:
ΔTi=TOi-TBi,
Wherein, NUMT is the temperature factor data number of non-scarce survey, TOiFor the temperature factor data of i-th of non-scarce survey, TBi
For the GRAPES Model Products temperature record of the correspondence temperature factor data,For Δ TiArithmetic mean of instantaneous value；
The temperature element assesses threshold value are as follows:
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN110647538A (en) * | 2019-10-18 | 2020-01-03 | 成都淞幸科技有限责任公司 | SOA-based climate observation data high-speed synthesis analysis method |
| CN113095690A (en) * | 2021-04-16 | 2021-07-09 | 中国气象局气象探测中心 | Quality rolling evaluation method and device for basic elements of ground observation station |
| CN114563111A (en) * | 2022-04-30 | 2022-05-31 | 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) | Health degree evaluation method, system, equipment and storage medium of air temperature observation equipment |
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