cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25582/data.2023-08.2859630/2426153
title: Data for EMSL Project 51287 from August 2023
DOI: 10.25582/data.2023-08.2858489/2426154
title: Data for EMSL Project 51287 from August 2023
DOI: 10.25582/data.2023-08.2858582/2426155
title: Data for EMSL Project 51287 from August 2023
DOI: 10.25582/data.2023-08.2858858/2426156
title: Data for EMSL Project 51287 from August 2023
DOI: 10.25582/data.2023-08.2858564/2426157
title: Data for EMSL Project 51287 from August 2023
DOI: 10.25582/data.2023-08.2858815/2426158
title: Data for EMSL Project 51287 from August 2023
DOI: 10.25582/data.2023-08.2859840/2426159
title: Data for EMSL Project 51287 from August 2023
DOI: 10.25582/data.2023-08.2859474/2426160
title: Data for EMSL Project 51287 from August 2023
DOI: 10.25582/data.2023-08.2858819/2426161
title: Data for EMSL Project 51287 from August 2023
DOI: 10.25582/data.2023-08.2858835/2426162
title: Data for EMSL Project 51287 from August 2023
DOI: 10.25582/data.2023-08.2859787/2426163
title: Data for EMSL Project 51287 from August 2023
DOI: 10.25582/data.2023-08.2858906/2426164
title: Data for EMSL Project 51287 from August 2023
DOI: 10.25582/data.2023-08.2858941/2426165
title: Data for EMSL Project 51287 from August 2023
DOI: 10.25582/data.2023-08.2858528/2426166
title: Data for EMSL Project 51287 from August 2023
DOI: 10.25582/data.2023-08.2859703/2426167
title: Data for EMSL Project 51287 from August 2023
DOI: 10.25582/data.2023-08.2858975/2426168
title: Data for EMSL Project 51287 from August 2023
DOI: 10.25582/data.2023-08.2858921/2426169
title: Data for EMSL Project 51287 from August 2023
DOI: 10.25582/data.2023-08.2858503/2426170
title: Data for EMSL Project 51287 from August 2023
DOI: 10.25582/data.2023-08.2858531/2426171
title: Data for EMSL Project 51287 from August 2023
DOI: 10.25582/data.2023-08.2858460/2426172
title: Data for EMSL Project 51287 from August 2023
DOI: 10.25582/data.2023-08.2858615/2426173
title: Data for EMSL Project 51287 from August 2023
DOI: 10.25582/data.2023-08.2858902/2426174
title: Data for EMSL Project 51287 from August 2023
DOI: 10.25582/data.2023-08.2858874/2426175
title: Data for EMSL Project 51287 from August 2023
DOI: 10.25582/data.2023-08.2858535/2426176
title: Data for EMSL Project 51287 from August 2023
DOI: 10.25582/data.2023-08.2858841/2426177
title: Data for EMSL Project 51287 from August 2023
DOI: 10.25582/data.2023-08.2858485/2426178
title: Data for EMSL Project 51287 from August 2023
DOI: 10.25582/data.2023-08.2858864/2426179
title: Data for EMSL Project 51287 from August 2023
DOI: 10.25582/data.2023-08.2858487/2426180
title: Data for EMSL Project 51287 from August 2023
DOI: 10.25582/data.2023-08.2858638/2426181
title: Data for EMSL Project 51287 from August 2023
DOI: 10.25582/data.2023-08.2858992/2426182
title: Data for EMSL Project 51287 from August 2023
DOI: 10.25582/data.2023-08.2858872/2426183
title: Data for EMSL Project 51287 from August 2023
DOI: 10.25582/data.2023-08.2858550/2426184
title: Data for EMSL Project 51287 from August 2023
DOI: 10.25582/data.2023-08.2858570/2426185
title: Data for EMSL Project 51287 from August 2023
DOI: 10.25582/data.2023-08.2858904/2426186
title: Data for EMSL Project 51287 from August 2023
DOI: 10.25582/data.2023-08.2859151/2426187
title: Data for EMSL Project 51287 from August 2023
DOI: 10.25582/data.2023-08.2858931/2426188
title: Data for EMSL Project 51287 from August 2023
DOI: 10.25582/data.2023-08.2858595/2426189
title: Data for EMSL Project 51287 from August 2023
DOI: 10.25582/data.2023-08.2858515/2426190
title: Data for EMSL Project 51287 from August 2023
DOI: 10.25582/data.2023-08.2859583/2426191
title: Data for EMSL Project 51287 from August 2023
DOI: 10.25582/data.2023-08.2858495/2426192
title: Data for EMSL Project 51287 from August 2023
DOI: 10.25582/data.2023-08.2858817/2426193
title: Data for EMSL Project 51287 from August 2023
DOI: 10.25582/data.2023-08.2858851/2426194
title: Data for EMSL Project 51287 from August 2023
DOI: 10.25582/data.2023-08.2858548/2426195
title: Data for EMSL Project 51287 from August 2023
DOI: 10.25582/data.2023-08.2858517/2426196
title: Data for EMSL Project 51287 from August 2023
DOI: 10.25582/data.2023-08.2858822/2426197
title: Data for EMSL Project 51287 from August 2023
DOI: 10.25582/data.2023-08.2858512/2426198
title: Data for EMSL Project 51287 from August 2023
DOI: 10.25582/data.2023-08.2858901/2426199
title: Data for EMSL Project 51287 from August 2023
DOI: 10.25582/data.2023-08.2858506/2426200
title: Data for EMSL Project 51287 from August 2023
DOI: 10.25582/data.2023-08.2858948/2426201
title: Data for EMSL Project 51287 from August 2023
DOI: 10.25582/data.2023-08.2858868/2426202
title: Data for EMSL Project 51287 from August 2023
DOI: 10.25582/data.2023-08.2858950/2426203
title: Data for EMSL Project 51287 from August 2023
DOI: 10.25582/data.2023-08.2859180/2426204
title: Data for EMSL Project 51287 from August 2023
DOI: 10.25582/data.2023-08.2859523/2426205
title: Data for EMSL Project 51287 from August 2023
DOI: 10.25582/data.2023-08.2858504/2426206
title: Data for EMSL Project 51287 from August 2023
DOI: 10.25582/data.2023-08.2858933/2426207
title: Data for EMSL Project 51287 from August 2023
DOI: 10.25582/data.2023-08.2858900/2426208
title: Data for EMSL Project 51287 from August 2023
DOI: 10.25582/data.2023-08.2858860/2426209
title: Data for EMSL Project 51287 from August 2023
DOI: 10.25582/data.2023-08.2858465/2426210
title: Data for EMSL Project 51287 from August 2023
DOI: 10.25582/data.2023-08.2858820/2426211
title: Data for EMSL Project 51287 from August 2023
DOI: 10.25582/data.2023-08.2858533/2426212
title: Data for EMSL Project 51287 from August 2023
DOI: 10.25582/data.2023-08.2858490/2426213
title: Data for EMSL Project 51287 from August 2023
DOI: 10.25582/data.2023-08.2858976/2426214
title: Data for EMSL Project 51287 from August 2023
DOI: 10.25582/data.2023-08.2858452/2426215
title: Data for EMSL Project 51287 from August 2023
DOI: 10.25582/data.2023-08.2858569/2426216
title: Data for EMSL Project 51287 from August 2023
DOI: 10.25582/data.2023-08.2859241/2426217
title: Data for EMSL Project 51287 from August 2023
DOI: 10.25582/data.2023-08.2858804/2426218
title: Data for EMSL Project 51287 from August 2023
DOI: 10.25582/data.2023-08.2858626/2426219
title: Data for EMSL Project 51287 from August 2023
DOI: 10.25582/data.2023-08.2858875/2426220
title: Data for EMSL Project 51287 from August 2023
DOI: 10.25582/data.2023-08.2858907/2426221
title: Data for EMSL Project 51287 from August 2023
DOI: 10.25582/data.2023-08.2858802/2426222
title: Data for EMSL Project 51287 from August 2023
DOI: 10.25582/data.2023-08.2858869/2426223
title: Data for EMSL Project 51287 from August 2023
DOI: 10.25582/data.2023-08.2858911/2426224
title: Data for EMSL Project 51287 from August 2023
DOI: 10.25582/data.2023-08.2858544/2426225
title: Data for EMSL Project 51287 from August 2023
DOI: 10.15468/dl.esh4zf
title: Occurrence Download

description: A dataset containing 2748256 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is Ecuador",
 "Geometry POLYGON((-77.41997 0.35704,-78.17021 -0.47216,-78.3479 -1.77493,-78.80199 -2.93876,-77.55818 -2.68241,-76.84743 -2.68241,-75.70233 -1.77493,-75.26798 -0.66958,-75.54439 0.06089,-76.21565 0.35704,-77.41997 0.35704))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 2748256 records from 42 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0047178-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2023-08.2858949/2426226
title: Data for EMSL Project 51287 from August 2023
DOI: 10.25582/data.2023-08.2858855/2426227
title: Data for EMSL Project 51287 from August 2023
DOI: 10.25582/data.2023-08.2858488/2426228
title: Data for EMSL Project 51287 from August 2023
DOI: 10.25582/data.2023-08.2858806/2426229
title: Data for EMSL Project 51287 from August 2023
DOI: 10.15468/dl.djg896
title: Occurrence Download

description: A dataset containing 24 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Japan",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Euurobracon yokahamae (Dalla Torre, 1898)"
 ]
}

 The dataset includes 24 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0047179-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2023-08.2858555/2426230
title: Data for EMSL Project 51287 from August 2023
DOI: 10.25582/data.2023-08.2858946/2426231
title: Data for EMSL Project 51287 from August 2023
DOI: 10.25582/data.2023-08.2858448/2426232
title: Data for EMSL Project 51287 from August 2023
DOI: 10.25582/data.2023-08.2859111/2426233
title: Data for EMSL Project 51287 from August 2023
DOI: 10.25582/data.2023-08.2858834/2426234
title: Data for EMSL Project 51287 from August 2023
DOI: 10.25582/data.2023-08.2858861/2426235
title: Data for EMSL Project 51287 from August 2023
DOI: 10.25582/data.2023-08.2859294/2426236
title: Data for EMSL Project 51287 from August 2023
DOI: 10.25582/data.2023-08.2858920/2426237
title: Data for EMSL Project 51287 from August 2023
DOI: 10.25582/data.2023-08.2859193/2426238
title: Data for EMSL Project 51287 from August 2023
DOI: 10.25582/data.2023-08.2858805/2426239
title: Data for EMSL Project 51287 from August 2023
DOI: 10.25582/data.2023-08.2858862/2426240
title: Data for EMSL Project 51287 from August 2023
DOI: 10.25582/data.2023-08.2858492/2426241
title: Data for EMSL Project 51287 from August 2023
DOI: 10.25582/data.2023-08.2858876/2426242
title: Data for EMSL Project 51287 from August 2023
DOI: 10.25582/data.2023-08.2858910/2426243
title: Data for EMSL Project 51287 from August 2023
DOI: 10.25582/data.2023-08.2858918/2426244
title: Data for EMSL Project 51287 from August 2023
DOI: 10.25582/data.2023-08.2858461/2426245
title: Data for EMSL Project 51287 from August 2023
DOI: 10.25582/data.2023-08.2858859/2426246
title: Data for EMSL Project 51287 from August 2023
DOI: 10.25582/data.2023-08.2858944/2426247
title: Data for EMSL Project 51287 from August 2023
DOI: 10.25582/data.2023-08.2858935/2426248
title: Data for EMSL Project 51287 from August 2023
DOI: 10.25582/data.2023-08.2859229/2426249
title: Data for EMSL Project 51287 from August 2023
DOI: 10.25582/data.2023-08.2859702/2426250
title: Data for EMSL Project 51287 from August 2023
DOI: 10.25582/data.2023-08.2858603/2426251
title: Data for EMSL Project 51287 from August 2023
DOI: 10.25582/data.2023-08.2858930/2426252
title: Data for EMSL Project 51287 from August 2023
DOI: 10.25582/data.2023-08.2858594/2426253
title: Data for EMSL Project 51241 from August 2023
DOI: 10.25582/data.2023-08.2858598/2426254
title: Data for EMSL Project 51241 from August 2023
DOI: 10.25582/data.2023-08.2858590/2426255
title: Data for EMSL Project 51241 from August 2023
DOI: 10.25582/data.2023-08.2859025/2426256
title: Data for EMSL Project 51241 from August 2023
DOI: 10.25582/data.2023-08.2858622/2426257
title: Data for EMSL Project 51241 from August 2023
DOI: 10.25582/data.2023-08.2858600/2426258
title: Data for EMSL Project 51241 from August 2023
DOI: 10.25582/data.2023-08.2859019/2426259
title: Data for EMSL Project 51241 from August 2023
DOI: 10.25582/data.2023-08.2859022/2426260
title: Data for EMSL Project 51241 from August 2023
DOI: 10.25582/data.2023-08.2859035/2426261
title: Data for EMSL Project 51241 from August 2023
DOI: 10.25582/data.2023-08.2858593/2426262
title: Data for EMSL Project 51241 from August 2023
DOI: 10.25582/data.2023-08.2858588/2426263
title: Data for EMSL Project 51241 from August 2023
DOI: 10.25582/data.2023-08.2858592/2426264
title: Data for EMSL Project 51241 from August 2023
DOI: 10.25582/data.2023-08.2859036/2426265
title: Data for EMSL Project 51241 from August 2023
DOI: 10.25582/data.2023-08.2859020/2426266
title: Data for EMSL Project 51241 from August 2023
DOI: 10.25582/data.2023-08.2859040/2426267
title: Data for EMSL Project 51241 from August 2023
DOI: 10.25582/data.2023-08.2858610/2426268
title: Data for EMSL Project 51241 from August 2023
DOI: 10.25582/data.2023-08.2858589/2426269
title: Data for EMSL Project 51241 from August 2023
DOI: 10.25582/data.2023-08.2859026/2426270
title: Data for EMSL Project 51241 from August 2023
DOI: 10.25582/data.2023-08.2859021/2426271
title: Data for EMSL Project 51241 from August 2023
DOI: 10.25582/data.2023-08.2858621/2426272
title: Data for EMSL Project 51241 from August 2023
DOI: 10.25582/data.2023-08.2858609/2426273
title: Data for EMSL Project 51241 from August 2023
DOI: 10.25582/data.2023-08.2859042/2426274
title: Data for EMSL Project 51241 from August 2023
DOI: 10.25582/data.2023-08.2858618/2426275
title: Data for EMSL Project 51241 from August 2023
DOI: 10.25582/data.2023-08.2859041/2426276
title: Data for EMSL Project 51241 from August 2023
DOI: 10.25582/data.2023-08.2858591/2426277
title: Data for EMSL Project 51241 from August 2023
DOI: 10.25582/data.2023-08.2858619/2426278
title: Data for EMSL Project 51241 from August 2023
DOI: 10.25582/data.2023-08.2859012/2426279
title: Data for EMSL Project 51241 from August 2023
DOI: 10.15468/dl.a5qe7x
title: Occurrence Download

description: A dataset containing 9065016 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is Ecuador",
 "DatasetKey is EOD – eBird Observation Dataset"
 ]
}

 The dataset includes 9065016 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0047180-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xn5vfe
title: Occurrence Download

description: A dataset containing 96 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Japan",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Linepithema humile (Mayr, 1868)"
 ]
}

 The dataset includes 96 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0047181-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13194663
title: ELITE SLWR: global 1km daily SLDR at SIN Grid   (2011_121-181)

description: The Essential thermal Infrared remoTe sEnsing (ELITE) product suite currently has four types of products, including land surface temperature (LST: clear-sky and all-sky), emissivity (NBE: narrowband emissivity; BBE: broadband emissivity; and spectral emissivity), the component of surface radiation and energy budget (SLUR: surface longwave upwelling radiation; SLDR: surface longwave downward radiation SLDR; SLNR: surface longwave net radiation), and the component of Earth’s radiation budget (OLR; outgoing longwave radiation; RSR: reflected solar radiation). The spatial-temporal resolutions of the ELITE products are mainly determined by the employed satellite data sources. For more information about ELITE products, please refer to the website (https://elite.bnu.edu.cn).

 

This dataset is ELITE daily surface longwave downward radiation (SLDR) product at 1km spatial resolution. It is provided on a Sinusoidal grid and ranges from 2000 to 2022 (continuously updated). This dataset was generated from the ELITE surface longwave downward radiation (SLDR) product using the algorithms developed by Zeng et al. (2021).

 

This is the ELITE Daily SLDR product in 2011 (DOY: 121-181). Please click here to download the ELITE Daily SLDR product in 2011 (DOY: 182-243).

Dataset Characteristics:



Spatial Coverage: Global

Temporal Coverage: 2011-05-01 ~ 2011-06-30

Spatial Resolution: 1 km

Temporal Resolution: Daily

Data Format: h5

Projection: Sinusoidal

Scale: 0.05

Offset: -1000

Fill value: 999


 

Citation (Please cite these papers when using the data):



Zeng, Q., & Cheng, J. (2021). Estimating high-spatial resolution surface daily longwave radiation from the instantaneous Global LAnd Surface Satellite (GLASS) longwave radiation product. International Journal of Digital Earth, 14(11), 1674-1704.
DOI: 10.5281/zenodo.13194664
title: ELITE SLWR: global 1km daily SLDR at SIN Grid   (2011_121-181)

description: The Essential thermal Infrared remoTe sEnsing (ELITE) product suite currently has four types of products, including land surface temperature (LST: clear-sky and all-sky), emissivity (NBE: narrowband emissivity; BBE: broadband emissivity; and spectral emissivity), the component of surface radiation and energy budget (SLUR: surface longwave upwelling radiation; SLDR: surface longwave downward radiation SLDR; SLNR: surface longwave net radiation), and the component of Earth’s radiation budget (OLR; outgoing longwave radiation; RSR: reflected solar radiation). The spatial-temporal resolutions of the ELITE products are mainly determined by the employed satellite data sources. For more information about ELITE products, please refer to the website (https://elite.bnu.edu.cn).

 

This dataset is ELITE daily surface longwave downward radiation (SLDR) product at 1km spatial resolution. It is provided on a Sinusoidal grid and ranges from 2000 to 2022 (continuously updated). This dataset was generated from the ELITE surface longwave downward radiation (SLDR) product using the algorithms developed by Zeng et al. (2021).

 

This is the ELITE Daily SLDR product in 2011 (DOY: 121-181). Please click here to download the ELITE Daily SLDR product in 2011 (DOY: 182-243).

Dataset Characteristics:



Spatial Coverage: Global

Temporal Coverage: 2011-05-01 ~ 2011-06-30

Spatial Resolution: 1 km

Temporal Resolution: Daily

Data Format: h5

Projection: Sinusoidal

Scale: 0.05

Offset: -1000

Fill value: 999


 

Citation (Please cite these papers when using the data):



Zeng, Q., & Cheng, J. (2021). Estimating high-spatial resolution surface daily longwave radiation from the instantaneous Global LAnd Surface Satellite (GLASS) longwave radiation product. International Journal of Digital Earth, 14(11), 1674-1704.
DOI: 10.5281/zenodo.13198119
title: ELITE SLWR: global 1km daily SLDR at SIN Grid   (2011_182-243)

description: The Essential thermal Infrared remoTe sEnsing (ELITE) product suite currently has four types of products, including land surface temperature (LST: clear-sky and all-sky), emissivity (NBE: narrowband emissivity; BBE: broadband emissivity; and spectral emissivity), the component of surface radiation and energy budget (SLUR: surface longwave upwelling radiation; SLDR: surface longwave downward radiation SLDR; SLNR: surface longwave net radiation), and the component of Earth’s radiation budget (OLR; outgoing longwave radiation; RSR: reflected solar radiation). The spatial-temporal resolutions of the ELITE products are mainly determined by the employed satellite data sources. For more information about ELITE products, please refer to the website (https://elite.bnu.edu.cn).

 

This dataset is ELITE daily surface longwave downward radiation (SLDR) product at 1km spatial resolution. It is provided on a Sinusoidal grid and ranges from 2000 to 2022 (continuously updated). This dataset was generated from the ELITE surface longwave downward radiation (SLDR) product using the algorithms developed by Zeng et al. (2021).

 

This is the ELITE Daily SLDR product in 2011 (DOY: 182-243). Please click here to download the ELITE Daily SLDR product in 2011 (DOY: 244-304).

Dataset Characteristics:



Spatial Coverage: Global

Temporal Coverage: 2011-07-01 ~ 2011-08-31

Spatial Resolution: 1 km

Temporal Resolution: Daily

Data Format: h5

Projection: Sinusoidal

Scale: 0.05

Offset: -1000

Fill value: 999


 

Citation (Please cite these papers when using the data):



Zeng, Q., & Cheng, J. (2021). Estimating high-spatial resolution surface daily longwave radiation from the instantaneous Global LAnd Surface Satellite (GLASS) longwave radiation product. International Journal of Digital Earth, 14(11), 1674-1704.
DOI: 10.5281/zenodo.13198120
title: ELITE SLWR: global 1km daily SLDR at SIN Grid   (2011_182-243)

description: The Essential thermal Infrared remoTe sEnsing (ELITE) product suite currently has four types of products, including land surface temperature (LST: clear-sky and all-sky), emissivity (NBE: narrowband emissivity; BBE: broadband emissivity; and spectral emissivity), the component of surface radiation and energy budget (SLUR: surface longwave upwelling radiation; SLDR: surface longwave downward radiation SLDR; SLNR: surface longwave net radiation), and the component of Earth’s radiation budget (OLR; outgoing longwave radiation; RSR: reflected solar radiation). The spatial-temporal resolutions of the ELITE products are mainly determined by the employed satellite data sources. For more information about ELITE products, please refer to the website (https://elite.bnu.edu.cn).

 

This dataset is ELITE daily surface longwave downward radiation (SLDR) product at 1km spatial resolution. It is provided on a Sinusoidal grid and ranges from 2000 to 2022 (continuously updated). This dataset was generated from the ELITE surface longwave downward radiation (SLDR) product using the algorithms developed by Zeng et al. (2021).

 

This is the ELITE Daily SLDR product in 2011 (DOY: 182-243). Please click here to download the ELITE Daily SLDR product in 2011 (DOY: 244-304).

Dataset Characteristics:



Spatial Coverage: Global

Temporal Coverage: 2011-07-01 ~ 2011-08-31

Spatial Resolution: 1 km

Temporal Resolution: Daily

Data Format: h5

Projection: Sinusoidal

Scale: 0.05

Offset: -1000

Fill value: 999


 

Citation (Please cite these papers when using the data):



Zeng, Q., & Cheng, J. (2021). Estimating high-spatial resolution surface daily longwave radiation from the instantaneous Global LAnd Surface Satellite (GLASS) longwave radiation product. International Journal of Digital Earth, 14(11), 1674-1704.
DOI: 10.5281/zenodo.13191437
title: ELITE SLWR: global 1km daily SLDR at SIN Grid   (2011_060-120)

description: The Essential thermal Infrared remoTe sEnsing (ELITE) product suite currently has four types of products, including land surface temperature (LST: clear-sky and all-sky), emissivity (NBE: narrowband emissivity; BBE: broadband emissivity; and spectral emissivity), the component of surface radiation and energy budget (SLUR: surface longwave upwelling radiation; SLDR: surface longwave downward radiation SLDR; SLNR: surface longwave net radiation), and the component of Earth’s radiation budget (OLR; outgoing longwave radiation; RSR: reflected solar radiation). The spatial-temporal resolutions of the ELITE products are mainly determined by the employed satellite data sources. For more information about ELITE products, please refer to the website (https://elite.bnu.edu.cn).

 

This dataset is ELITE daily surface longwave downward radiation (SLDR) product at 1km spatial resolution. It is provided on a Sinusoidal grid and ranges from 2000 to 2022 (continuously updated). This dataset was generated from the ELITE surface longwave downward radiation (SLDR) product using the algorithms developed by Zeng et al. (2021).

 

This is the ELITE Daily SLDR product in 2011 (DOY: 060-120. Please click here to download the ELITE Daily SLDR product in 2012 (DOY: 121-181).

Dataset Characteristics:



Spatial Coverage: Global

Temporal Coverage: 2011-03-01 ~ 2011-04-30

Spatial Resolution: 1 km

Temporal Resolution: Daily

Data Format: h5

Projection: Sinusoidal

Scale: 0.05

Offset: -1000

Fill value: 999


 

Citation (Please cite these papers when using the data):



Zeng, Q., & Cheng, J. (2021). Estimating high-spatial resolution surface daily longwave radiation from the instantaneous Global LAnd Surface Satellite (GLASS) longwave radiation product. International Journal of Digital Earth, 14(11), 1674-1704.