Keyword

rainfall

55 record(s)
 
Type of resources
Topics
Keywords
Contact for the resource
Provided by
Years
Formats
Representation types
Update frequencies
Scale
Resolution
From 1 - 10 / 55
  • This dataset collection contains 0.25 degree resolution 3-hourly and daily global Climate Prediction Center morphing method (CMORPH) precipitation data. CMORPH is the CPC Morphing technique which derives precipitation estimates from low orbiter satellite microwave observations.

  • Data were collected by Chilbolton Facility for Atmospheric and Radio Research (CFARR) Raingauges from 15th of March 2002 to the present at Sparsholt College, Hampshire. The dataset contains measurements of rainfall accumulation as measured by RAL Rapid Response Drop Counting rain gauges.

  • Data were collected by Chilbolton Facility for Atmospheric and Radio Research (CFARR) Raingauges from 1st of May 1995 to the present at Chilbolton, Hampshire. The dataset contains measurements of rainfall accumulation as measured by RAL Rapid Response Drop Counting rain gauges.

  • Data were collected by the Chilbolton Facility for Atmospheric and Radio Research (CFARR) Disdrometer from the 1st of April 2003 to the present at Chilbolton, Hampshire. The dataset contains measurements of the drop size distribution of rain.

  • Data were collected by the Chilbolton Facility for Atmospheric and Radio Research (CFARR) Disdrometer from the 1st of July 2004 to the present at Sparsholt College, Hampshire. The dataset contains measurements of the drop size distribution of rain.

  • This dataset contains 0.25 degree resolution 3-hourly global Climate Prediction Center morphing method (CMORPH) precipitation data. CMORPH is the CPC Morphing technique which derives precipitation estimates from low orbiter satellite microwave observations.

  • This dataset contains 0.25 degree resolution daily global Climate Prediction Center morphing method (CMORPH) precipitation data. CMORPH is the CPC Morphing technique which derives precipitation estimates from low orbiter satellite microwave observations.

  • This project was funded by the Natural Environment Research Council (NERC) with the grant reference - NE/I021012/1 - and was led by Dr Christopher Holloway (University of Reading). This dataset collection contains MetUM model data and observed convective aggregation data for the Tropics. This project aimed to clearly identify processes important for self-aggregation of convection in idealized models and then to test whether these processes, or different processes, are active in convective organization in nature. The second part of this goal was an open question in the field, and this fellowship has the potential to connect a rapidly expanding theoretical research area with ongoing efforts to improve the understanding and prediction of tropical variability. The focus on the Unified Model benefited weather and climate prediction in the UK by exchanging ideas with Met Office scientists who were directly involved in testing and improving the model.

  • 1 km gridded estimates of daily and monthly rainfall for Great-Britain and Northern Ireland (together with approximately 3000 km2 of catchment in the Republic of Ireland) from 1890 to 2019. The rainfall estimates are derived from the Met Office national database of observed precipitation. To derive the estimates, monthly and daily (when complete month available) precipitation totals from the UK rain gauge network are used. The natural neighbour interpolation methodology, including a normalisation step based on average annual rainfall, was used to generate the daily and monthly estimates. The estimated rainfall on a given day refers to the rainfall amount precipitated in 24 hours between 9am on that day until 9am on the following day. The CEH-GEAR dataset has been developed according to the guidance provided in BS 7843-4:2012. Full details about this dataset can be found at https://doi.org/10.5285/dbf13dd5-90cd-457a-a986-f2f9dd97e93c

  • This dataset contains Global Precipitation Measurements (GPM) Integrated Multi-satellitE Retrievals (IMERG) v5 and v6. The Global Precipitation Measurement (GPM) mission is an international network of satellites that provide the next-generation global observations of rain and snow.