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EarthScan Input Data Sources

Find out more about EarthScan Input Data Sources

Attribution Statements for Climate Signals

These statements cover license requirements related to the use of third-party data sources as input data sources into EarthScan’s models and outputs. These statements fulfill EarthScan’s requirements regarding third-party copyright and contractual requirements for the onward use of data and reflect EarthScan’s commitment to meeting the obligations set out in our contract and license agreements. In addition, EarthScan customers are encouraged to use these attributions, citations and acknowledgements in the onward sharing of their reports and outputs that use EarthScan inputs.

Table of Contents

Atmospheric Signals

ERA5

Limited Liability

Neither the European Commission nor the ECMWF have any responsibility for any use that may be made of the Copernicus information or data it contains nor carry any liability for any damage, loss whether direct, indirect or consequential resulting from the EarthScan’s use of the Copernicus Products.

Individual Data Products

  • ERA5
    • Contains modified Copernicus Climate Change Service information 2022
    • Contains modified Copernicus Atmosphere Monitoring Service information 2022

CMIP6

We acknowledge the World Climate Research Programme, which, through its Working Group on Coupled Modelling, coordinated and promoted CMIP6. We thank the climate modeling groups for producing and making available their model output, the Earth System Grid Federation (ESGF) for archiving the data and providing access, and the multiple funding agencies who support CMIP6 and ESGF.

NASA Global Daily Downscaled Projections (GDDP)

Individual Data Product

  • NASA GDDP
    • Contains modified data from the NASA Global Daily Downscaled Projections model. This model is published under a Creative Commons Attribution 4.0 International License. The team that developed this output includes Bridget Thrasher from the Climate Analytics Group, Weile Wang, Andrew Michaelis and Ramakrishna Nemani from NASA Ames Research Center, Forrest Melton from NASA ARC_CREST, CSUMB, and Tsengdar Lee from NASA Headquarters. Further information including Citations can be found here.
  • NEX-GDDP-CMIP6
    • Attribution
      • Contains modified NEX-GDDP-CMIP6 data made available through a Creative Commons Zero license (CC0) license.
    • Acknowledgement
      • Climate scenarios used were from the NEX-GDDP-CMIP6 dataset, prepared by the Climate Analytics Group and NASA Ames Research Center using the NASA Earth Exchange and distributed by the NASA Center for Climate Simulation (NCCS). We acknowledge the World Climate Research Programme, which, through its Working Group on Coupled Modeling, coordinated and promoted CMIP6. We thank the climate modeling groups for producing and making available their model output, the Earth System Grid Federation (ESGF) for archiving the data and providing access, and the multiple funding agencies who support CMIP6 and ESGF.
    • Citations
    • Data Set Citation
    • Methods Citation
      • Thrasher, B., Maurer, E. P., McKellar, C., & Duffy, P. B., 2012: Technical Note: Bias correcting climate model simulated daily temperature extremes with quantile mapping. Hydrology and Earth System Sciences, 16(9), 3309-3314, doi:10.5194/hess-16-3309-2012.

NASA GPM-IMERG

Acknowledgement

  • "The data were provided by the NASA/Goddard Space Flight Center's PMM team and PPS, which develop and compute the GPM-IMERG as a contribution to GPM, and archived at the NASA GES DISC."

Citation

  • G. Huffman, D. Bolvin, D. Braithwaite, K. Hsu, R. Joyce, P. Xie, C. Kidd, E. Nelkin, S. Sorooshian, J. Tan, P. Xie, 2020: Integrated Multi-satellitE Retrievals for GPM (IMERG), version 06. NASA's Precipitation Processing Center, accessed on dd/mm/yyyy.

Coordinated Regional Climate Downscaling Experiment (CORDEX)

  • We acknowledge the World Climate Research Programme's Working Group on Regional Climate, and the Working Group on Coupled Modelling, former coordinating body of CORDEX and responsible panel for CMIP5. We also thank the climate modelling groups listed below for producing and making available their model output. We also acknowledge the Earth System Grid Federation infrastructure an international effort led by the U.S. Department of Energy's Program for Climate Model Diagnosis and Intercomparison, the European Network for Earth System Modelling and other partners in the Global Organisation for Earth System Science Portals (GO-ESSP).

International Best Track Archive for Climate Stewardship (IBTrACS)

Global Historical Climate Network-daily (GHCN-d)

  • Menne, M.J., I. Durre, B. Korzeniewski, S. McNeal, K. Thomas, X. Yin, S. Anthony, R. Ray, R.S. Vose, B.E.Gleason, and T.G. Houston, 2012: Global Historical Climatology Network - Daily (GHCN-Daily), Version 3. NOAA National Climatic Data Center. http://doi.org/10.7289/V5D21VHZ [09/06/2022].

European Space Agency (ESA) WorldCover 2020

  • Contains modified Copernicus Sentinel data (2020) processed by ESA WorldCover consortium

STORM

National Weather Service - Storm Prediction Center

  • Contains modified National Weather Service data from the Storm Prediction Center. Data produced by the NWS is in the public domain and not subject to Copyright Protection as stated in this disclaimer.

Flooding Signals

Copernicus GLO-90

  • The organisations in charge of the Copernicus programme by law or by delegation do not incur any liability for any use of the Copernicus WorldDEM™-90.
  • Produced using Copernicus WorldDEM™-90 © DLR e.V. 2010-2014 and © Airbus Defence and Space GmbH 2014-2018 provided under COPERNICUS by the European Union and ESA; all rights reserved.

Copernicus GLO-30

  • The organisations in charge of the Copernicus programme by law or by delegation do not incur any liability for any use of the Copernicus WorldDEM-30.
  • Produced using Copernicus WorldDEM-30 © DLR e.V. 2010-2014 and © Airbus Defence and Space GmbH 2014- 2018 provided under COPERNICUS by the European Union and ESA; all rights reserved.

CEMS-Floods (GLoFAS)

  • Contains modified Copernicus Emergency Management Service information 2022.

HydroLakes

  • Messager, M.L., Lehner, B., Grill, G., Nedeva, I., Schmitt, O. (2016): Estimating the volume and age of water stored in global lakes using a geo-statistical approach. Nature Communications: 13603. doi: 10.1038/ncomms13603. Data is available at www.hydrosheds.org.
  • The HydroLAKES database (version 1.a) is licensed under a Creative Commons Attribution 4.0 International License. The copyright © of HydroLAKES is held by the authors, 2016, all rights reserved.

ISIMIP

  • For their roles in producing, coordinating, and making available the ISIMIP input data and impact model output, we acknowledge the Korea Advanced Institute of Science and Technology, National Institute for Environmental Studies, Japan, the Potsdam Institute for Climate Impact Research (Germany), the ISIMIP sector coordinators and the ISIMIP cross-sectoral science team responsible for developing the MATSIRO, H08, and LPJmL models respectively for the Water (global) sector.

Global Surface Water

  • Jean-Francois Pekel, Andrew Cottam, Noel Gorelick, Alan S. Belward, High-resolution mapping of global surface water and its long-term changes. Nature 540, 418-422 (2016). (doi:10.1038/nature20584).

GPS MIDAS Velocity - Nevada Geodetic Laboratory

  • Blewitt, G., W. C. Hammond, and C. Kreemer (2018), Harnessing the GPS data explosion for interdisciplinary science, Eos, 99,
  • https://doi.org/10.1029/2018EO104623.
  • Data has been gathered from many stations that are part of this data product. A list of their attributions can be found here.

IPCC AR6 Sea-Level Rise Projections

  • We thank the projection authors for developing and making the sea-level rise projections available, multiple funding agencies for supporting the development of the projections, and the NASA Sea-Level Change Team for developing and hosting the IPCC AR6 Sea-Level Projection Tool.
  • Citations
    • Fox-Kemper, B., H. T. Hewitt, C. Xiao, G. Aðalgeirsdóttir, S. S. Drijfhout, T. L. Edwards, N. R. Golledge, M. Hemer, R. E. Kopp, G. Krinner, A. Mix, D. Notz, S. Nowicki, I. S. Nurhati, L. Ruiz, J-B. Sallée, A. B. A. Slangen, Y. Yu, 2021, Ocean, Cryosphere and Sea Level Change. In: Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S. L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M. I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J. B. R. Matthews, T. K. Maycock, T. Waterfield, O. Yelekçi, R. Yu and B. Zhou (eds.)]. Cambridge University Press. In press.
    • Garner, G. G., R. E. Kopp, T. Hermans, A. B. A. Slangen, G. Koubbe, M. Turilli, S. Jha, T. L. Edwards, A. Levermann, S. Nowikci, M. D. Palmer, C. Smith, in prep. Framework for Assessing Changes To Sea-level (FACTS). Geoscientific Model Development.
    • Garner, G. G., T. Hermans, R. E. Kopp, A. B. A. Slangen, T. L. Edwards, A. Levermann, S. Nowikci, M. D. Palmer, C. Smith, B. Fox-Kemper, H. T. Hewitt, C. Xiao, G. Aðalgeirsdóttir, S. S. Drijfhout, T. L. Edwards, N. R. Golledge, M. Hemer, R. E. Kopp, G. Krinner, A. Mix, D. Notz, S. Nowicki, I. S. Nurhati, L. Ruiz, J-B. Sallée, Y. Yu, L. Hua, T. Palmer, B. Pearson, 2021. IPCC AR6 Sea-Level Rise Projections. Version 20210809. PO.DAAC, CA, USA. Dataset accessed 2022-02-01 at [https://podaac.jpl.nasa.gov/announcements/2021-08-09-Sea-level-projections-from-the-IPCC-6th-Assessment-Report.](https://podaac.jpl.nasa.gov/announcements/2021-08-09-Sea-level-projections-from-the-IPCC-6th-Assessment-Report)

COAST-RP

  • Aerts, J. C. J. H. (Contributor), Muis, S. (Contributor), Couasnon, A. (Contributor), Chertova, M. V. (Contributor), Bloemendaal, N. (Contributor), Dullaart, J. C. M. (Contributor) (1 Jan 2021). COAST-RP: A global COastal dAtaset of Storm Tide Return Periods. 4TU.ResearchData. 10.4121/13392314.v1

Global 3 Second Water Body Map (G3WBM)