Weather data It has always been a valuable data , It is widely used in various fields of research . Meteorological data include temperature 、 pressure 、 Relative humidity 、 Precipitation 、 evaporation 、 Wind direction, wind speed 、 Sunshine and other indicators , However, it is difficult to obtain the meteorological data including all these indicators , Even if you get it, you can't share it freely .
The data has been packaged and shared , Here's the data Baidu cloud download link ：
1 Level directory | file name |
PRS | SURF_CLI_CHN_MUL_DAY-PRS-10004-YYYYMM.TXT（ The station's air pressure is ） |
TEM | SURF_CLI_CHN_MUL_DAY-TEM-12001-YYYYMM.TXT（ The temperature ） |
RHU | SURF_CLI_CHN_MUL_DAY-RHU-13003-YYYYMM.TXT（ Relative humidity ） |
PRE | SURF_CLI_CHN_MUL_DAY-PRE-13011-YYYYMM.TXT（ Precipitation ） |
EVP | SURF_CLI_CHN_MUL_DAY-EVP-13240-YYYYMM.TXT（ evaporation ） |
WIN | SURF_CLI_CHN_MUL_DAY-WIN-11002-YYYYMM.TXT（ Wind direction, wind speed ） |
SSD | SURF_CLI_CHN_MUL_DAY-SSD-14032-YYYYMM.TXT（ sunshine ） |
GST | SURF_CLI_CHN_MUL_DAY-GST-12030-0cm-YYYYMM.TXT(0cm ground temperature ) |
precipitation Within a certain period of time , Land on a level surface , No leakage is assumed , No loss , It doesn't evaporate , The depth of the accumulated water , Is a measure of how much precipitation in an area . All the rain and snow falling in a month melt into water, which is called monthly precipitation .
The geographic remote sensing ecological network obtains daily precipitation data of ground meteorological stations , stay 2000 Under the national geodetic coordinate system （CGCS2000） Based on Kriging interpolation method , At the same time, combined with the influence of elevation on temperature , Spatial interpolation of meteorological station data , Get the monthly precipitation distribution data month by month , In this way, the discrete meteorological station data will be transformed into regular grid sequence , It can effectively reflect the spatial information of precipitation elements .
The sun transmits energy outward in the form of electromagnetic waves , call Solar radiation (solar radiation), It refers to the electromagnetic wave and particle flow emitted by the sun into space . The solar radiation energy received by the earth is only 2.2 billion times of the total radiation energy radiated by the sun to space , But it is the main energy source of the earth's atmospheric movement , It is also the main source of light and heat energy of the earth .
This product is Geographic remote sensing ecological network platform Calculate our 1981 - 2022 year 40 year 1 to 12 The average monthly radiation of the month , That is, calculate first 1981 to 2022 Annual average monthly daily radiation , Right again 40 Average the monthly data of the year . The geographic coordinate system of the data product is WGS84, Unit is W m-2.
High precision 10m/30 rice NPP Net primary productivity distribution The data is in Sentinel and landsat Data preprocessing and calculation based on relevant series of products , Unit is gc/m², The data format is grid type , The spatial resolution is 10m/30m rice , The space covers the whole country .
Provided by the geographic remote sensing ecological network platform NPP Based on the data CASA Model estimate , It calculates vegetation NPP The basic idea of is to use vegetation to obtain solar radiation , Plus the utilization of vegetation itself , So as to estimate the net growth of vegetation . Estimated in the model NPP Photosynthetically active radiation that can be absorbed by vegetation (APAR) And actual light energy utilization (ε) Two factors to represent , The formula is as follows ：
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Geographic remote sensing ecological network platform Mainly from land use remote sensing monitoring data 、 Administrative division boundary data （ Administrative village boundary 、 Township street boundary 、 Provincial, municipal and County Boundaries ）、 Weather data （ rainfall 、 The temperature 、 Evapotranspiration 、 radiation 、 humidity 、 Sunshine hours 、 The wind speed 、 Vapor pressure data ）、 Hydrological station data （ Runoff data ）、 Remote sensing data （npp Net primary productivity data 、NDVI data 、LAI Leaf area index 、GPP Primary productivity data 、 Surface temperature LST data 、 High precision remote sensing images, etc ）、 Soil data （ Soil type 、 Soil texture 、 Soil organic matter 、 soil PH value 、 Soil texture 、 Soil erosion 、 soil NPK、 Soil thickness soil 、 Distribution of heavy metal content in soil 、 Soil moisture content, etc ）、POI Point of interest data （ Food and Beverages 、 Road ancillary facilities 、 Place name address information 、 famous scenery 、 communal facilities 、 Company business 、 Shopping service 、 Transportation facilities and services 、 Financial insurance services 、 Science, education and cultural services 、 Motorcycle Service 、 Auto service 、 Car maintenance 、 Car sales 、 Business Housing 、 Life service 、 Event activity 、 Sports Leisure Services 、 Access facilities 、 Healthcare services 、 Government agencies and social organizations 、 Accommodation services, etc ）、 National crop type distribution data （ soybean 、 corn 、 rice 、 Sugar cane 、 Wheat spatial distribution data, etc ）、 Ecosystem services spatial data set 、 Chinese wetland and swamp classification data set 、 Urban air quality monitoring data 、 Spatial distribution data set of river basins in China 、 Spatial distribution data of roads in China 、 Distribution data of terrestrial ecosystem types in China 、 Socio economic statistical yearbook data 、 China GDP Spatially distributed data sets 、 China population spatial distribution data set 、 Spatial distribution data of urban building outline 、 Spatial distribution data of geological hazards in China （ Collapse 、 Collapse 、 Debris flow 、 Land subsidence 、 Ground fissures 、 Landslide 、 steep hill 、 Earthquake, etc ）、 Geological and lithological distribution map 、 Digital elevation of landform DEM data （ Geomorphic type vector data 、12.5 Height accuracy DEM Data etc. ）、 China NDVI Vegetation index spatial distribution data set 、 Night light data 、 Vector boundary of tertiary watershed 、 Distribution of vegetation types 、 Distribution of nature reserves 、 Building outline distribution and other land use 、 ecological environment 、 Disaster monitoring 、 Socio economic and meteorological climate series data .
What else are you looking at ？ Let's get the data three times in a row ！
National Meteorological Data / Rainfall distribution data / Solar radiation data /NPP Net primary productivity data / More related articles on vegetation coverage data
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