Update README.md

README.md

@@ -29,6 +29,16 @@ The input variables contain three dynamical variables concatenated along the ver
 - **Language(s) (NLP):** [More Information Needed]
 - **License:** MIT License
 
+#### Long-term precipitation forecast
+
+The long-term precipitation forecast datasets consists of global daily rainfall accumulations and corresponding global
+satellite observations derived from multiple sensors. The aim of the task is to predict the daily rainfall accumulations 
+up to 28 days into the future.
+
+
+- **Curated by:** [Simon Pfreundschuh](github.com/simonpf) (Colorado State University)
+
+
 ### Dataset Sources [optional]
 
 <!-- Provide the basic links for the dataset. -->
@@ -41,6 +51,26 @@ The input variables were obtained by conservatively coarsegraining the winds and
 - **Paper [optional]:** [More Information Needed]
 - **Demo [optional]:** [More Information Needed]
 
+#### Long-term precipitation forecast
+
+The daily precipitation accumulations are derived from the PERSIANN CDR dataset up until June 2020 and from the
+IMERG final daily product.
+
+- Sorooshian, Soroosh; Hsu, Kuolin; Braithwaite, Dan; Ashouri, Hamed; and NOAA CDR Program (2014): NOAA Climate Data Record (CDR) of Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks (PERSIANN-CDR), Version 1 Revision 1. NOAA National Centers for Environmental Information. doi:10.7289/V51V5BWQ, Accessed: 2023/12/01.
+- Huffman, G.J., E.F. Stocker, D.T. Bolvin, E.J. Nelkin, Jackson Tan (2019), GPM IMERG Final Precipitation L3 1 day 0.1 degree x 0.1 degree V06, Edited by Andrey Savtchenko, Greenbelt, MD, Goddard Earth Sciences Data and Information Services Center (GES DISC), Accessed: 2023/12/01, 10.5067/GPM/IMERGDF/DAY/06
+
+The satellite observations are derived from the PATMOS-x, GridSat-B1, and the SSMI(S) brightness temperatures CDRs.
+
+- Foster, Michael J.; Phillips, Coda; Heidinger, Andrew K.; and NOAA CDR Program (2021): NOAA Climate Data Record (CDR) of Advanced Very High Resolution Radiometer (AVHRR) and High-resolution Infra-Red Sounder (HIRS) Reflectance, Brightness Temperature, and Cloud Products from Pathfinder Atmospheres - Extended (PATMOS-x), Version 6.0. NOAA National Centers for Environmental Information. https://doi.org/10.7289/V5X9287S, Accessed: 2023/12/01.
+- Kummerow, Christian D., Wesley K. Berg, Mathew R. P. Sapiano, and NOAA CDR Program (2013): NOAA Climate Data Record (CDR) of SSM/I and SSMIS Microwave Brightness Temperatures, CSU Version 1. NOAA National Climatic Data Center. doi:10.7289/V5CC0XMJ, Accessed 2023/12/01.
+ Knapp, Kenneth R.; NOAA CDR Program; (2014): NOAA Climate Data Record (CDR) of Gridded Satellite Data from ISCCP B1 (GridSat-B1) Infrared Channel Brightness Temperature, Version 2. NOAA National Centers for Environmental Information. doi:10.7289/V59P2ZKR, Accessed: 2023/12/01.
+
+Finally, baseline forecasts from the European Centre for Medium-Range Weather Forecasts (ECMWF) and the UK Met Office (UKMO) were downloaded from the S2S database.
+
+- Vitart et al.,The Sub-seasonal to Seasonal (S2S) Prediction Project Database. Bull. Amer. Meteor. Soc., 98(1), 163-176. doi: http://dx.doi.org/10.1175/BAMS-D-16-0017.1.
+  
+- **Curated by:** [Simon Pfreundschuh](github.com/simonpf) (Colorado State University)
+
 ## Uses
 
 <!-- Address questions around how the dataset is intended to be used. -->