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45 results for “longwave radiation”
ELITE surface longwave upwelling radiation: global 1km Swath 5-min SLUR - Terra (2010.07-09)
<p>The <strong>E</strong>ssential therma<strong>L</strong> <strong>I</strong>nfrared remo<strong>T</strong>e s<strong>E</strong>nsing (<strong>ELITE</strong>) 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 (<a href="https://elite.bnu.edu.cn">https://elite.bnu.edu.cn</a>).</p> <p>This dataset is the ELITE global 1km instantaneous SLUR product ranging from 2000 to 2022 (continuously updated). This dataset was generated from the Moderate Resolution Imaging Spectrometer (MODIS, Terra and Aqua) data using the algorithm developed by Cheng et al. (2016). </p> <p>This is the ELITE SLUR (Terra) product in 2010.07-2010.09. Please <a href="https://zenodo.org/record/8251664"><strong><em>click here</em></strong></a> to download the ELITE SLUR (Terra) product in 2010.04-2010.06 and <a href="https://www.zenodo.org/record/8251880"><strong><em>click here</em></strong></a> to download the ELITE SLUR (Terra) product in 2010.10-2010.12.</p> <p><strong>Dataset Characteristics:</strong></p> <ul> <li>Spatial Coverage: Global</li> <li>Temporal Coverage: 2010</li> <li>Spatial Resolution: 1 km</li> <li>Temporal Resolution: 5min/instantaneous</li> <li>Data Format: hdf</li> <li>Scale: 0.05</li> <li>Offset: -1000</li> </ul> <p><strong>Citation </strong>(Please cite these papers when using the data)<strong>:</strong></p> <ol> <li>Cheng, J., & Liang, S. (2016). Global estimates for high-spatial-resolution clear-sky land surface upwelling longwave radiation from MODIS data. IEEE Transactions on Geoscience and Remote Sensing, <em>54</em>(7), 4115-4129.</li> </ol> <p>If you have any questions, please contact Prof. Jie Cheng (Jie_Cheng@bnu.edu.cn).</p>
ELITE surface longwave upwelling radiation: global 1km Swath 5-min SLUR - Terra (2010.04-06)
<p>The <strong>E</strong>ssential therma<strong>L</strong> <strong>I</strong>nfrared remo<strong>T</strong>e s<strong>E</strong>nsing (<strong>ELITE</strong>) 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 (<a href="https://elite.bnu.edu.cn">https://elite.bnu.edu.cn</a>).</p> <p>This dataset is the ELITE global 1km instantaneous SLUR product ranging from 2000 to 2022 (continuously updated). This dataset was generated from the Moderate Resolution Imaging Spectrometer (MODIS, Terra and Aqua) data using the algorithm developed by Cheng et al. (2016). </p> <p>This is the ELITE SLUR (Terra) product in 2010.04-2010.06. Please <a href="https://www.zenodo.org/record/8251604"><strong><em>click here</em></strong></a> to download the ELITE SLUR (Terra) product in 2010.01-2010.03 and <a href="https://www.zenodo.org/record/8251659"><strong><em>click here</em></strong></a> to download the ELITE SLUR (Terra) product in 2010.07-2010.09.</p> <p><strong>Dataset Characteristics:</strong></p> <ul> <li>Spatial Coverage: Global</li> <li>Temporal Coverage: 2010</li> <li>Spatial Resolution: 1 km</li> <li>Temporal Resolution: 5min/instantaneous</li> <li>Data Format: hdf</li> <li>Scale: 0.05</li> <li>Offset: -1000</li> </ul> <p><strong>Citation </strong>(Please cite these papers when using the data)<strong>:</strong></p> <ol> <li>Cheng, J., & Liang, S. (2016). Global estimates for high-spatial-resolution clear-sky land surface upwelling longwave radiation from MODIS data. IEEE Transactions on Geoscience and Remote Sensing, <em>54</em>(7), 4115-4129.</li> </ol> <p>If you have any questions, please contact Prof. Jie Cheng (Jie_Cheng@bnu.edu.cn).</p>
Assessing the longwave components of the Earth's radiation budget from modeling and observational perspectives - coarse resolution datasets
Open the record for dataset details and reuse information.
Importance of Longwave Radiative Forcing by Icy Clouds in Maintaining Miocene High-latitude Warmth
<p>Supporting Information for<strong> Importance of Longwave Radiative Forcing by Icy Clouds in Maintaining Miocene High-latitude Warmth</strong></p> <p>NetCDF files: B.MIO_400_C5.cam2.h0.last50yr_climo_monthly.nc is from our control experiment, and B.MIO_400_C5_MK_TeoKor_Dem1SLF_2.cam2.h0.last50yr_climo_monthly is from our modified experiment.</p> <p>cldwat2m_micro.F90, microp_aero.F90, microp_driver.F90, and zm_conv.F90 are the source code used in our modified experiment. </p> <p> </p>
ELITE surface longwave downward radiation: global 1km Swath 5-min SLDR - Aqua (2010.07-09)
<p>The <strong>E</strong>ssential therma<strong>L</strong> <strong>I</strong>nfrared remo<strong>T</strong>e s<strong>E</strong>nsing (<strong>ELITE</strong>) 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 (<a href="https://elite.bnu.edu.cn">https://elite.bnu.edu.cn</a>).</p> <p>This dataset is the ELITE global 1km instantaneous SLDR product ranging from 2000 to 2022 (continuously updated). This dataset was generated from the Moderate Resolution Imaging Spectrometer (MODIS, Terra and Aqua) data using the algorithm developed by Cheng et al. (2017) and Yang and Cheng. (2020).</p> <p>This is the ELITE SLDR (Aqua) product in 2010.07-2010.09. Please <a href="https://zenodo.org/record/8237625"><strong><em>click here</em></strong></a> to download the ELITE SLDR (Aqua) product in 2010.04-2010.06 and <a href="https://zenodo.org/record/8237637"><strong><em>click here</em></strong></a> to download the ELITE SLDR (Aqua) product in 2010.10-2010.12.</p> <p><strong>Dataset Characteristics:</strong></p> <ul> <li>Spatial Coverage: Global</li> <li>Temporal Coverage: 2010</li> <li>Spatial Resolution: 1 km</li> <li>Temporal Resolution: 5min/instantaneous</li> <li>Data Format: hdf</li> <li>Scale: 0.05</li> <li>Offset: -1000</li> </ul> <p><strong>Citation </strong>(Please cite these papers when using the data)<strong>:</strong></p> <ol> <li>Cheng J, Liang S, Wang W, et al. An efficient hybrid method for estimating clear‐sky surface downward longwave radiation from MODIS data. Journal of Geophysical Research: Atmospheres, 2017, 122(5): 2616-2630.</li> <li>Yang, F., & Cheng, J. (2020). A framework for estimating cloudy sky surface downward longwave radiation from the derived active and passive cloud property parameters. Remote Sensing of Environment, 248, 111972.</li> </ol> <p>If you have any questions, please contact Prof. Jie Cheng (Jie_Cheng@bnu.edu.cn).</p>
ELITE surface longwave downward radiation: global 1km Swath 5-min SLDR - Terra (2010.10-12)
<p>The <strong>E</strong>ssential therma<strong>L</strong> <strong>I</strong>nfrared remo<strong>T</strong>e s<strong>E</strong>nsing (<strong>ELITE</strong>) 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 (<a href="https://elite.bnu.edu.cn">https://elite.bnu.edu.cn</a>).</p> <p>This dataset is the ELITE global 1km instantaneous SLDR product ranging from 2000 to 2022 (continuously updated). This dataset was generated from the Moderate Resolution Imaging Spectrometer (MODIS, Terra and Aqua) data using the algorithm developed by Cheng et al. (2017) and Yang and Cheng. (2020).</p> <p>This is the ELITE SLDR (Terra) product in 2010.10-2010.12. Please <a href="https://zenodo.org/record/8241646"><strong><em>click here</em></strong></a> to download the ELITE SLDR (Terra) product in 2010.07-2010.09 and <a href="https://zenodo.org/deposit/8237629"><strong><em>click here</em></strong></a> to download the ELITE SLDR (Terra) product in 2011.01-2011.03.</p> <p><strong>Dataset Characteristics:</strong></p> <ul> <li>Spatial Coverage: Global</li> <li>Temporal Coverage: 2010</li> <li>Spatial Resolution: 1 km</li> <li>Temporal Resolution: 5min/instantaneous</li> <li>Data Format: hdf</li> <li>Scale: 0.05</li> <li>Offset: -1000</li> </ul> <p><strong>Citation </strong>(Please cite these papers when using the data)<strong>:</strong></p> <ol> <li>Cheng J, Liang S, Wang W, et al. An efficient hybrid method for estimating clear‐sky surface downward longwave radiation from MODIS data. Journal of Geophysical Research: Atmospheres, 2017, 122(5): 2616-2630.</li> <li>Yang, F., & Cheng, J. (2020). A framework for estimating cloudy sky surface downward longwave radiation from the derived active and passive cloud property parameters. Remote Sensing of Environment, 248, 111972.</li> </ol> <p>If you have any questions, please contact Prof. Jie Cheng (Jie_Cheng@bnu.edu.cn).</p>
ELITE surface longwave downward radiation: global 1km Swath 5-min SLDR - Terra (2010.07-09)
<p>The <strong>E</strong>ssential therma<strong>L</strong> <strong>I</strong>nfrared remo<strong>T</strong>e s<strong>E</strong>nsing (<strong>ELITE</strong>) 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 (<a href="https://elite.bnu.edu.cn">https://elite.bnu.edu.cn</a>).</p> <p>This dataset is the ELITE global 1km instantaneous SLDR product ranging from 2000 to 2022 (continuously updated). This dataset was generated from the Moderate Resolution Imaging Spectrometer (MODIS, Terra and Aqua) data using the algorithm developed by Cheng et al. (2017) and Yang and Cheng. (2020).</p> <p>This is the ELITE SLDR (Terra) product in 2010.07-2010.09. Please <a href="https://zenodo.org/record/8241462"><strong><em>click here</em></strong></a> to download the ELITE SLDR (Terra) product in 2010.04-2010.06 and <a href="https://www.zenodo.org/record/8241651"><strong><em>click here</em></strong></a> to download the ELITE SLDR (Terra) product in 2010.10-2010.12.</p> <p><strong>Dataset Characteristics:</strong></p> <ul> <li>Spatial Coverage: Global</li> <li>Temporal Coverage: 2010</li> <li>Spatial Resolution: 1 km</li> <li>Temporal Resolution: 5min/instantaneous</li> <li>Data Format: hdf</li> <li>Scale: 0.05</li> <li>Offset: -1000</li> </ul> <p><strong>Citation </strong>(Please cite these papers when using the data)<strong>:</strong></p> <ol> <li>Cheng J, Liang S, Wang W, et al. An efficient hybrid method for estimating clear‐sky surface downward longwave radiation from MODIS data. Journal of Geophysical Research: Atmospheres, 2017, 122(5): 2616-2630.</li> <li>Yang, F., & Cheng, J. (2020). A framework for estimating cloudy sky surface downward longwave radiation from the derived active and passive cloud property parameters. Remote Sensing of Environment, 248, 111972.</li> </ol> <p>If you have any questions, please contact Prof. Jie Cheng (Jie_Cheng@bnu.edu.cn).</p>
ELITE surface longwave net radiation: global 1km Swath 5-min SLNR - Aqua (2010.07-09)
<p>The <strong>E</strong>ssential therma<strong>L</strong> <strong>I</strong>nfrared remo<strong>T</strong>e s<strong>E</strong>nsing (<strong>ELITE</strong>) 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 (<a href="https://elite.bnu.edu.cn">https://elite.bnu.edu.cn</a>).</p> <p>This dataset is the ELITE global 1km instantaneous SLNR product ranging from 2000 to 2022 (continuously updated). This dataset was generated from the Moderate Resolution Imaging Spectrometer (MODIS, Terra and Aqua) data using the algorithm developed by Cheng et al. (2016), Cheng et al. (2017), and Yang and Cheng. (2020). </p> <p>This is the ELITE SLNR (Aqua) product in 2010.07-2010.09. Please <a href="https://zenodo.org/record/8240689"><strong><em>click here</em></strong></a> to download the ELITE SLNR (Aqua) product in 2010.04-2010.06 and <a href="https://zenodo.org/record/8243322"><strong><em>click here</em></strong></a> to download the ELITE SLNR (Aqua) product in 2010.10-2010.12.</p> <p><strong>Dataset Characteristics:</strong></p> <ul> <li>Spatial Coverage: Global</li> <li>Temporal Coverage: 2010</li> <li>Spatial Resolution: 1 km</li> <li>Temporal Resolution: 5min/instantaneous</li> <li>Data Format: hdf</li> <li>Scale: 0.05</li> <li>Offset: -1000</li> </ul> <p><strong>Citation </strong>(Please cite these papers when using the data)<strong>:</strong></p> <ol> <li>Cheng, J., & Liang, S. (2016). Global estimates for high-spatial-resolution clear-sky land surface upwelling longwave radiation from MODIS data. IEEE Transactions on Geoscience and Remote Sensing, <em>54</em>(7), 4115-4129.</li> <li>Cheng J, Liang S, Wang W, et al. An efficient hybrid method for estimating clear‐sky surface downward longwave radiation from MODIS data. Journal of Geophysical Research: Atmospheres, 2017, 122(5): 2616-2630.</li> <li>Yang, F., & Cheng, J. (2020). A framework for estimating cloudy sky surface downward longwave radiation from the derived active and passive cloud property parameters. Remote Sensing of Environment, 248, 111972.</li> </ol> <p>If you have any questions, please contact Prof. Jie Cheng (Jie_Cheng@bnu.edu.cn).</p>
Land-use induced changes in extreme temperature predominantly influenced by downward longwave radiation
Open the record for dataset details and reuse information.
Evaluation of a wind tunnel designed to investigate the response of evaporation to changes in the incoming longwave radiation at a water surface. Part I and II
<p>Data in spreadsheet format for wind tunnel evaporation experiments 2019-2022.</p>
ELITE surface longwave net radiation: global 1km Swath 5-min SLNR - Aqua (2010.04-06)
<p>The <strong>E</strong>ssential therma<strong>L</strong> <strong>I</strong>nfrared remo<strong>T</strong>e s<strong>E</strong>nsing (<strong>ELITE</strong>) 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 (<a href="https://elite.bnu.edu.cn">https://elite.bnu.edu.cn</a>).</p> <p>This dataset is the ELITE global 1km instantaneous SLNR product ranging from 2000 to 2022 (continuously updated). This dataset was generated from the Moderate Resolution Imaging Spectrometer (MODIS, Terra and Aqua) data using the algorithm developed by Cheng et al. (2016), Cheng et al. (2017), and Yang and Cheng. (2020). </p> <p>This is the ELITE SLNR (Aqua) product in 2010.04-2010.06. Please <a href="https://zenodo.org/deposit/8255865"><strong><em>click here</em></strong></a> to download the ELITE SLNR (Aqua) product in 2010.01-2010.03 and <a href="https://zenodo.org/deposit/8255887"><strong><em>click here</em></strong></a> to download the ELITE SLNR (Aqua) product in 2010.07-2010.09.</p> <p><strong>Dataset Characteristics:</strong></p> <ul> <li>Spatial Coverage: Global</li> <li>Temporal Coverage: 2010</li> <li>Spatial Resolution: 1 km</li> <li>Temporal Resolution: 5min/instantaneous</li> <li>Data Format: hdf</li> <li>Scale: 0.05</li> <li>Offset: -1000</li> </ul> <p><strong>Citation </strong>(Please cite these papers when using the data)<strong>:</strong></p> <ol> <li>Cheng, J., & Liang, S. (2016). Global estimates for high-spatial-resolution clear-sky land surface upwelling longwave radiation from MODIS data. IEEE Transactions on Geoscience and Remote Sensing, <em>54</em>(7), 4115-4129.</li> <li>Cheng J, Liang S, Wang W, et al. An efficient hybrid method for estimating clear‐sky surface downward longwave radiation from MODIS data. Journal of Geophysical Research: Atmospheres, 2017, 122(5): 2616-2630.</li> <li>Yang, F., & Cheng, J. (2020). A framework for estimating cloudy sky surface downward longwave radiation from the derived active and passive cloud property parameters. Remote Sensing of Environment, 248, 111972.</li> </ol> <p>If you have any questions, please contact Prof. Jie Cheng (Jie_Cheng@bnu.edu.cn).</p>
BOREAS Follow-On HMet-01 Level-2 GOES-8 1996 Shortwave and Longwave Radiation
The BOREAS RSS-14 team collected and processed several Level-1 GOES-7 and GOES-8 image data sets for 1994-1996, and GOES-7 Level-2 for 1994 over the BOREAS study region. This data set contains shortwave and longwave radiation images at the surface and top of the atmosphere derived from collected GOES-8 data. These GOES-8 Level-2 data cover the period from 12-Feb-1996 to 22-Oct-1996. There are images missing from the temporal series. The main difference between this data set and 1994 data set is in the spatial coverage and the grid cell size.
BOREAS RSS-14 GOES-7 Level-2 Shortwave and Longwave Radiation Images
The BOREAS RSS-14 team collected and processed several GOES-7 and GOES-8 image data sets that covered the BOREAS study region. This data set contains images of shortwave and longwave radiation at the surface and top of the atmosphere derived from collected GOES-7 data. The data cover the time period of 05-Feb-1994 to 20-Sep-1994. The images missing from the temporal series were zero-filled to create a consistent sequence of files. The data are stored in binary image format files.
Longwave Radiation Data: UNL (FIFE)
The Incoming Longwave Radiation Data from UNL Data Set was collected as part of a study of thermal radiant energy from vegetative canopies. These data were collected during the growing season of 1987 and 1989. The data measurements were made at 13 stations within 12 sitegrids scattered throughout the FIFE study area. Values for incoming longwave radiation were calculated using the radiometer chopper or detector temperature as a measure of air temperature. When determining surface temperatures from infrared thermometer measurements of the surface, the surface emissivity and the reflected component must be taken into account. The reflected component is dependent on the surface emissivity and the incoming longwave radiation.
Aqua AIRS Level 3 Spectral Outgoing Longwave Radiation (OLR) Monthly
This L3 Spectral Outgoing Longwave Radiation (OLR) is derived using the AIRS radiances to compute spectral fluxes based on an algorithm developed by Xianglei Huang at the University of Michigan. It uses data from the Atmospheric InfraRed Sounder (AIRS) instrument on the EOS-Aqua spacecraft.The Aqua AIRS Huang Level-3 Spectral OLR product contains OLR parameters derived from the AIRS version 6 data: all-sky and clear-sky OLR both spectrally resolved at 10 cm-1 bandwidth and integrated to a single value per grid square. This is monthly product on a 2x2 degree latitude/longitude grid.
Quantifying Transition Zone Radiative Effects in Longwave Radiation Parameterizations
<p>The files uploaded here consist of the band averaged aerosol optical properties used in our study and the data behind the figures presented in the manuscript.</p>
Data and Codes for "Clouds Attenuate the Increase of Downwelling Longwave Radiation Over Land in Climate Warming"
<p>This folder contains the data and codes generated for the manuscript titled "Clouds Attenuate the Increase of Downwelling Longwave Radiation Over Land in Climate Warming."</p>
Data and Code for: Evaluation of vertically resolved longwave radiation in SPARTACUS-Urban and the sensitivity to urban surface temperatures
<p>This contains the model outputs and analysis code for the article: Evaluation of vertically resolved longwave radiation in SPARTACUS-Urban and the sensitivity to urban surface temperature, Stretton et al. 2022, Submitted to <em>Geoscientific Model Development</em>.</p>
Fast Longwave And SHortwave Fluxes (FLASHflux) Clouds and Radiative Swath (SSF) data in netCDF
FLASH_SSF_NOAA20-FM6-VIIRS_Version1A data are near real-time CERES observed TOA fluxes, clouds, and parameterized surface fluxes, not officially calibrated. The Fast Longwave and SHortwave Flux (FLASHFlux) data are a product line of the Clouds and the Earth's Radiant Energy Systems (CERES) project designed for processing and release of top-of-atmosphere (TOA) and surface radiative fluxes within one week of CERES instrument measurement. The FLASHFlux data product is a rapid-release product based on the algorithms developed for and data collected by the CERES project. CERES is currently producing world-class climate data products derived from measurements taken aboard NASA's Terra and Aqua spacecraft. While of exceptional fidelity, these data products require considerable processing time to assure quality, verify accuracy, and assess precision. The result is that CERES data are typically released up to six months after acquiring the initial measurements. Such delays are of little consequence for climate studies, especially considering the improved quality of the released data products. Thus, FLASHFlux products are not intended to achieve climate quality.FLASHFlux data products were envisioned as a resource whereby CERES data could be provided to the community within a week of the initial measurements, with some calibration accuracy requirements relaxed to gain speed. The Single Scanner Footprint TOA/Surface Fluxes and Clouds (SSF) product contains one hour of instantaneous Fast Longwave And SHortwave Fluxes (FLASHFlux) data for a single Clouds and the Earth's Radiant Energy Systems (CERES) scanner instrument. The SSF combines instantaneous CERES data with scene information from a higher-resolution imager such as the Visible Infrared Imaging Radiometer Suite (VIIRS) on the NOAA-20 satellite and meteorological and ozone information from The Goddard Earth Observing System GEOS-5 FP-IT Atmospheric Data Assimilation System (GEOS-5 ADAS). Scene identification and cloud properties are defined at the higher imager resolution, and these data are averaged over the larger CERES footprint. For each CERES footprint, the SSF contains Top-of-Atmosphere fluxes in SW, LW, and incoming NET, surface fluxes using the Langley parameterized shortwave and longwave algorithms, and cloud information.CERES is a key Earth Observing System (EOS) program component. The CERES instruments provide radiometric measurements of the Earth's atmosphere from three broadband channels. The CERES mission is a follow-up to the successful Earth Radiation Budget Experiment (ERBE) mission. The first CERES instrument (PFM) was launched on November 27, 1997, as part of the Tropical Rainfall Measuring Mission (TRMM). Two CERES instruments (FM1 and FM2) were launched into polar orbit on board the EOS flagship Terra on December 18, 1999. Two additional CERES instruments (FM3 and FM4) were launched on board EOS Aqua on May 4, 2002. CERES instrument Flight Model 5 (FM5) was launched on board the Suomi National Polar-orbiting Partnership (NPP) satellite on October 28, 2011. The latest CERES instrument (FM6) was launched on board NOAA-20 on November 18, 2017.
First ISCCP Regional Experiment (FIRE) Cirrus 1 Surface Radiation Budget (SRB) Longwave Radiation Data
These data contain down-welled global longwave hemispherical radiation taken during the Wisconsin FIRE/SRB experiment. The data set consists of measurements taken every minute for 5 ground stations during each 24 hour day. The data include values from October 12 through November 2, 1986.The number, location, latitude, and longitude of the FIRE/SRB WISCONSIN sites are:NUMBER LOCATION LATITUDE(DEG N) LONGITUDE(DEG W)1 FT. MCCOY 43.96 90.762 STEVENS POINT 44.55 89.533 BARABOO 43.52 89.774 ADAMS COUNTY 43.97 89.805 WAUTOMA 44.04 89.30
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.