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Dataset results
6 results for “satellite calibration”
A Novel Framework to Harmonise Satellite Data Series for Climate Applications: Matchups, Calibration Parameters and Residuals
<p>The datasets included with this archive supplement the journal article:</p> <p>Giering, R.; Quast, R.; Mittaz, J.P.D.; Hunt, S.E.; Harris, P.M.; Woolliams, E.R.; Merchant, C.J. A Novel Framework to Harmonise Satellite Data Series for Climate Applications. <em>Remote Sens. 2019</em>, <strong>11</strong>, 1002. doi:<a href="https://doi.org/10.3390/rs11091002">10.3390/rs11091002</a>.</p> <p>The archive includes a README file with further explanations.</p>
Survey response of the H2020 Water-ForCE expert meeting on In situ calibration and validation of satellite products of water quality and hydrology
<p>These slides provide an overview of the expert survey held in advance of the H2020 Water-ForCE workshop:</p> <p><strong>In situ calibration and validation of satellite products of water quality and hydrology</strong></p> <p>which was held as three virtual meeting sessions on 17, 18 and 20th May 2021:</p> <ol> <li>Data availability, Accessibility and quality gaps</li> <li>Emerging technologies to address current gaps</li> <li>Data harmonization and sharing</li> </ol> <p>Source data have been removed from the graphs included in these slides but may be requested from the authors.</p> <p>The workshop and outcomes are part of the H2020 funded project Water-ForCE: Water Scenarios For Copernicus Exploitation. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 101004186</p>
PREFIRE Level 1A Calibrated Spectral Radiance from PREFIRE Satellite 1 R01
PREFIRE (Polar Radiant Energy in the Far InfraRed Experiment) Level 1A Calibrated Spectral Radiance from PREFIRE Satellite 1 (PREFIRE_SAT1_1A-RAD) contains calibrated radiance data derived from data collected by the PREFIRE Thermal Infrared Spectrometer (TIRS-PREFIRE) aboard PREFIRE-SAT1. Duel CubeSats each carry a TIRS-PREFIRE, a push broom spectrometer with 63 channels measuring mid- and far-infrared (FIR) radiation from approximately 5 to 53 µm. Most polar emissions are in the FIR but have not been measured on a large scale. PREFIRE aims to fill knowledge gaps in the global energy budget by more accurately characterizing polar emissions. This information will then be assimilated into global circulation and other climate models to predict future climates more accurately.Digital number counts from the PREFIRE_SAT1_0-PAYLOAD-TLM collection are converted to radiance and calibrated using an internal blackbody target and space-look data.The PREFIRE_SAT1_1A-RAD data is used as input for PREFIRE_SAT1_1B-RAD, which is geolocated radiance. Given that it is not geolocated, PREFIRE_SAT1_1A-RAD is not useful for direct scientific study.Data retrieval started in May TBD, 2024, and is ongoing. Geographic coverage is global, with the greatest concentration of data in the polar regions. This data has a temporal resolution of 0.707 seconds and is available in netCDF-4.Calibrated radiance data for the sister instrument aboard PREFIRE-SAT2 can be found in the PREFIRE_SAT2_1A-RAD collection.
PREFIRE Level 1A Calibrated Spectral Radiance from PREFIRE Satellite 2 R01
PREFIRE (Polar Radiant Energy in the Far InfraRed Experiment) Level 1A Calibrated Spectral Radiance from PREFIRE Satellite 2 (PREFIRE_SAT2_1A-RAD) contains calibrated radiance data retrieved from data collected by the PREFIRE Thermal Infrared Spectrometer (TIRS-PREFIRE) aboard PREFIRE-SAT2. Dual CubeSats each carry a TIRS-PREFIRE, a push broom spectrometer with 63 channels measuring mid- and far-infrared (FIR) radiation from approximately 5 to 53 µm. Most polar emissions are in the FIR but have not been measured on a large scale. PREFIRE aims to fill knowledge gaps in the global energy budget by more accurately characterizing polar emissions. This information will then be assimilated into global circulation and other models to predict future conditions more accurately.Digital number counts from the PREFIRE_SAT2_0-PAYLOAD-TLM collection are converted to radiance and calibrated using an internal blackbody target and space-look data.The PREFIRE_SAT2_1A-RAD data are used as input for PREFIRE_SAT2_1B-RAD, which is geolocated radiance. Given that it is not geolocated, PREFIRE_SAT2_1A-RAD is not useful for direct scientific study.Science data retrieval for this collection started on June 29, 2024, and is ongoing. Geographic coverage is global, with the greatest concentration of data in the polar regions. These data have a temporal resolution of 0.707 seconds and is available in NetCDF-4.Calibrated radiance data for the sister instrument aboard PREFIRE-SAT1 can be found in the PREFIRE_SAT1_1A-RAD collection.
Database for manuscript 'Potential of Satellite and Reanalysis Evaporation Datasets for Hydrological Modelling under Various Model Calibration Strategies'
<p>******************************************************************************************************************************************************<strong>NOTICE: </strong>all datasets and tools provided in this database can and should only be used to reproduce the original experiment for which the database was created. The use of any datasets and tools in this database is subject to third party restrictions. Before copying or using this database for other purposes than reproducing the original experiment for which it was created, please ask for adequate authorisations to the author (Moctar Dembélé, mocdembele@gmail.com), who might additionaly need the authorization of the providers of the data and the tools available in this database. ******************************************************************************************************************************************************</p> <p>This database provides model inputs and outputs for the manuscript 'Potential of Satellite and Reanalysis Evaporation Datasets for Hydrological Modelling under Various Model Calibration Strategies' by Dembélé et al.</p> <p>The content of each folder is as follows:</p> <p>-Input contains the data needed to setup and run the mHM model.</p> <p>-The folders MOD16A2, SSEBop, ALEXI, CMRSET, SEBS, GLEAM v3.2a, GLEAM v3.3a, GLEAM v3.2b, GLEAM v3.3b), ERA5, MERRA-2, and JRA-55 contain the model output files using different evaporation data to calibrate the mHM model. Each of these folders contains four sub-folders corresponding to four distint calibration strategies.</p> <p>-refQ contains the model output files when the model is calibrated using only streamflow data.</p> <p>-inputAnalysis contains the results and the files of the analysis of the model input datasets using the MATLAB software..</p> <p>-combiEvapAnalysis contains the results and the files of the analysis of the model outputs using the MATLAB software.</p> <p>For further information, please contact Moctar Dembélé, mocdembele@gmail.com</p>
Database for the manuscript "Improving the predictive skill of a distributed hydrological model by calibration on spatial patterns with multiple satellite datasets"
<p>******************************************************************************************************************************************************<strong>NOTICE: </strong>all datasets and tools provided in this database can and should only be used to reproduce the original experiment for which the database was created. The use of any datasets and tools in this database is subject to third party restrictions. Before copying or using this database for other purposes than reproducing the original experiment for which it was created, please ask for adequate authorisations to the author (Moctar Dembélé, mocdembele@gmail.com), who might additionaly need the authorization of the providers of the data and the tools available in this database. ******************************************************************************************************************************************************</p> <p>This database provides model outputs for the manuscript 'Improving the predictive skill of a distributed hydrological model by calibration on spatial patterns with multiple satellite datasets' by Dembélé et al.</p> <p>The content of each folder is as follows:</p> <p>-OF5 contains the model outputs for the model calibration case Q</p> <p>-OF42 contains the model outputs for the model calibration case MV-Q</p> <p>-OF46 contains the model outputs for the model calibration case MV-St</p> <p>-OF47 contains the model outputs for the model calibration case MV-Su</p> <p>-OF48 contains the model outputs for the model calibration case MV-Ea</p> <p>-OF49 contains the model outputs for the model calibration case MV</p> <p>-Input contains the data needed to setup and run the model</p> <p>-multiOFanalysis contains the results and the files of the analysis of the model outputs using the MATLAB software.</p> <p>For further information, please contact Moctar Dembélé, mocdembele@gmail.com</p> <p> </p>
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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International Brain Laboratory public data
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OpenNeuro
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