#gsdr β Public Fediverse posts
Live and recent posts from across the Fediverse tagged #gsdr, aggregated by home.social.
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BURGER - A Bottom-Up Regionalization Approach for Global Sub-Daily Intensity-Duration-Frequency Data
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https://doi.org/10.1029/2024WR039773 <-- shared paper
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https://zenodo.org/records/15473689 <-- shared dataset
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"KEY POINTS
β’ BURGER is the first global IDF data set derived from observations of sub-daily rainfall
β’ Sub-daily rainfall intensities are computed with the Simplified Metastatistical Extreme Value (SMEV) approach for a range of return periods
β’ BURGER intensities compare well with expected intensities, indicated by an interquartile range of the percentage bias between β5% and 5%..β
#GIS #spatial #data #mapping #global #exteremeweather #precipitation #rainfall #gauge #intensity #model #modeling #spatialanalysis #spatiotemporal #BURGER #geostatistics #spatialstatistics # statistics #GSDR #IDF #remotesensing #earthobservation #machinelearning #AI #weather #climate #prediction #usecase #flood #risk #hazard #SMEV #accuracy #metrology -
BURGER - A Bottom-Up Regionalization Approach for Global Sub-Daily Intensity-Duration-Frequency Data
--
https://doi.org/10.1029/2024WR039773 <-- shared paper
--
https://zenodo.org/records/15473689 <-- shared dataset
--
"KEY POINTS
β’ BURGER is the first global IDF data set derived from observations of sub-daily rainfall
β’ Sub-daily rainfall intensities are computed with the Simplified Metastatistical Extreme Value (SMEV) approach for a range of return periods
β’ BURGER intensities compare well with expected intensities, indicated by an interquartile range of the percentage bias between β5% and 5%..β
#GIS #spatial #data #mapping #global #exteremeweather #precipitation #rainfall #gauge #intensity #model #modeling #spatialanalysis #spatiotemporal #BURGER #geostatistics #spatialstatistics # statistics #GSDR #IDF #remotesensing #earthobservation #machinelearning #AI #weather #climate #prediction #usecase #flood #risk #hazard #SMEV #accuracy #metrology -
BURGER - A Bottom-Up Regionalization Approach for Global Sub-Daily Intensity-Duration-Frequency Data
--
https://doi.org/10.1029/2024WR039773 <-- shared paper
--
https://zenodo.org/records/15473689 <-- shared dataset
--
"KEY POINTS
β’ BURGER is the first global IDF data set derived from observations of sub-daily rainfall
β’ Sub-daily rainfall intensities are computed with the Simplified Metastatistical Extreme Value (SMEV) approach for a range of return periods
β’ BURGER intensities compare well with expected intensities, indicated by an interquartile range of the percentage bias between β5% and 5%..β
#GIS #spatial #data #mapping #global #exteremeweather #precipitation #rainfall #gauge #intensity #model #modeling #spatialanalysis #spatiotemporal #BURGER #geostatistics #spatialstatistics # statistics #GSDR #IDF #remotesensing #earthobservation #machinelearning #AI #weather #climate #prediction #usecase #flood #risk #hazard #SMEV #accuracy #metrology -
BURGER - A Bottom-Up Regionalization Approach for Global Sub-Daily Intensity-Duration-Frequency Data
--
https://doi.org/10.1029/2024WR039773 <-- shared paper
--
https://zenodo.org/records/15473689 <-- shared dataset
--
"KEY POINTS
β’ BURGER is the first global IDF data set derived from observations of sub-daily rainfall
β’ Sub-daily rainfall intensities are computed with the Simplified Metastatistical Extreme Value (SMEV) approach for a range of return periods
β’ BURGER intensities compare well with expected intensities, indicated by an interquartile range of the percentage bias between β5% and 5%..β
#GIS #spatial #data #mapping #global #exteremeweather #precipitation #rainfall #gauge #intensity #model #modeling #spatialanalysis #spatiotemporal #BURGER #geostatistics #spatialstatistics # statistics #GSDR #IDF #remotesensing #earthobservation #machinelearning #AI #weather #climate #prediction #usecase #flood #risk #hazard #SMEV #accuracy #metrology -
BURGER - A Bottom-Up Regionalization Approach for Global Sub-Daily Intensity-Duration-Frequency Data
--
https://doi.org/10.1029/2024WR039773 <-- shared paper
--
https://zenodo.org/records/15473689 <-- shared dataset
--
"KEY POINTS
β’ BURGER is the first global IDF data set derived from observations of sub-daily rainfall
β’ Sub-daily rainfall intensities are computed with the Simplified Metastatistical Extreme Value (SMEV) approach for a range of return periods
β’ BURGER intensities compare well with expected intensities, indicated by an interquartile range of the percentage bias between β5% and 5%..β
#GIS #spatial #data #mapping #global #exteremeweather #precipitation #rainfall #gauge #intensity #model #modeling #spatialanalysis #spatiotemporal #BURGER #geostatistics #spatialstatistics # statistics #GSDR #IDF #remotesensing #earthobservation #machinelearning #AI #weather #climate #prediction #usecase #flood #risk #hazard #SMEV #accuracy #metrology -
"New group of scientists announced to help to draft the 2027 Global Sustainable Development Report" #GSDR #UN https://www.un.org/sustainabledevelopment/blog/2025/09/pr-2027-gsdr/
This brings me back to a long-standing frustration from my #researchmanagement years: This list of individually perfectly fine researchers (I assume, know only one well myself) has one major flaw: If you want diversity do it properly! IPCC had similar challenges.