A subset of the Global Sub-Daily Rainfall (GSDR) dataset, including the countries marked as 'open' in Table A2 of the accompanying paper (DIO: 10.1175/JCLI-D-18-0143.1). The dataset includes archive data, raw data, quality control flags and quality controlled data and raw data. Example quality control files (with headers), raw data processing scripts and INTENSE Python code are also included.The INTENSE project is funded through the European Research Council (Grant ERC-2013-CoG-617329) and funds EL, HJF, SB, X-FL, and SG. HJF is also funded by the Wolfson Foundation and the Royal Society as a Royal Society Wolfson Research Merit Award (WM140025) holder. LA is supported by Australian Research Council Centre of Excellence Grant CE17010023 an...
This .zip folder contains the parameters of a superstatistical distribution of daily precipitation e...
This collection contains results of Work Package 2 "Hazard Identification" of project RAIN (" Risk ...
International audienceWe introduce the Frequent Rainfall Observations on GridS (FROGS) database (Roc...
[Departement_IRSTEA]Territoires [ADD1_IRSTEA]Adaptation des territoires au changement globalInternat...
\ua9 2023, The Author(s). Precipitation indices based on daily gauge observations are well establish...
The raindrop size distribution (DSDs) describes the number and size distributions of raindrops in a ...
Gauge and gridded time series indices and supplementary statistics from GSDR-I (an observation-based...
Historical in situ sub-daily rainfall observations are essential for the understanding of short-dura...
Rainfall dataset based on the integration of IMERG-ER of the Global Precipitation Measurement Missio...
Historical in situ sub-daily rainfall observations are essential for the understanding of short-dura...
We present a new global land-based daily precipitation dataset from 1950 using an interpolated netwo...
[Departement_IRSTEA]Territoires [ADD1_IRSTEA]Adaptation des territoires au changement globalNational...
The data set was produced within the project Space2rain funded by the Netherlands Organisation for S...
<p>Large-sample datasets are essential in hydrological science to support modelling studies an...
This is a collection of 124 global and free datasets allowing for spatial (and temporal) analyses of...
This .zip folder contains the parameters of a superstatistical distribution of daily precipitation e...
This collection contains results of Work Package 2 "Hazard Identification" of project RAIN (" Risk ...
International audienceWe introduce the Frequent Rainfall Observations on GridS (FROGS) database (Roc...
[Departement_IRSTEA]Territoires [ADD1_IRSTEA]Adaptation des territoires au changement globalInternat...
\ua9 2023, The Author(s). Precipitation indices based on daily gauge observations are well establish...
The raindrop size distribution (DSDs) describes the number and size distributions of raindrops in a ...
Gauge and gridded time series indices and supplementary statistics from GSDR-I (an observation-based...
Historical in situ sub-daily rainfall observations are essential for the understanding of short-dura...
Rainfall dataset based on the integration of IMERG-ER of the Global Precipitation Measurement Missio...
Historical in situ sub-daily rainfall observations are essential for the understanding of short-dura...
We present a new global land-based daily precipitation dataset from 1950 using an interpolated netwo...
[Departement_IRSTEA]Territoires [ADD1_IRSTEA]Adaptation des territoires au changement globalNational...
The data set was produced within the project Space2rain funded by the Netherlands Organisation for S...
<p>Large-sample datasets are essential in hydrological science to support modelling studies an...
This is a collection of 124 global and free datasets allowing for spatial (and temporal) analyses of...
This .zip folder contains the parameters of a superstatistical distribution of daily precipitation e...
This collection contains results of Work Package 2 "Hazard Identification" of project RAIN (" Risk ...
International audienceWe introduce the Frequent Rainfall Observations on GridS (FROGS) database (Roc...