Articles | Volume 17, issue 1
https://doi.org/10.5194/amt-17-247-2024
https://doi.org/10.5194/amt-17-247-2024
Research article
 | 
15 Jan 2024
Research article |  | 15 Jan 2024

Assessing sampling and retrieval errors of GPROF precipitation estimates over the Netherlands

Linda Bogerd, Hidde Leijnse, Aart Overeem, and Remko Uijlenhoet

Data sets

Precipitation Data Directory Jacob Reed https://gpm.nasa.gov/data/directory

Precipitation - 5 minute precipitation accumulations from climatological gauge-adjusted radar dataset for The Netherlands Aart Overeem https://dataplatform.knmi.nl/dataset/rad-nl25-rac-mfbs-5min-netcdf4-2-0

Precipitation - radar 5 minute echo top height composites over the Netherlands Hidde Leijnse https://dataplatform.knmi.nl/dataset/radar-tar-echotopheight-5min-1-0

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Short summary
Algorithms merge satellite radiometer data from various frequency channels, each tied to a different footprint size. We studied the uncertainty associated with sampling (over the Netherlands using 4 years of data) as precipitation is highly variable in space and time by simulating ground-based data as satellite footprints. Though sampling affects precipitation estimates, it doesn’t explain all discrepancies. Overall, uncertainties in the algorithm seem more influential than how data is sampled.