A set of 130 digital precipitation maps of the tropical Andes, covering Colombia, Ecuador and Peru at a 5km resolution. The maps represent different realizations of mean precipitation totals of the period 1981-2010 using different satellite-gauge merging methods. The work draws on a large database of 723 rain gauges and the full 5km Tropical Rainfall Measuring Mission (TRMM) Precipitation Radar (TPR) record from 1998 to 2014. Each map is approximately 1MB Full details about this dataset can be found at https://doi.org/10.5285/74a588cc-723c-4a35-ac0c-223f5b92ee36

The data comprise high resolution climate measurements including temperature, precipitation, relative humidity, wind gust speed, wind direction and dew point measured in an open space in proximity to a forest fragment close to Sirsi, Western Ghats, India in 2021 and 2022. The data provide background information used to determine the safety margins of Indian tropical forests to elevated temperatures and dry conditions. Please see related data for information on leaf temperature, soil moisture, and growth, hydraulic, thermal and photosynthetic traits for a representative set of plant species. Full details about this dataset can be found at https://doi.org/10.5285/d7b0dc22-053d-4a91-8e90-2f8b2ab794e4

The datasets contains monthly environmental data from HOBO dataloggers which were used to measure precipitation, air temperature, Photosynthetically Active Radiation (PAR), soil moisture, soil temperature and water level relative to surface from 6 points in 1km2 of upland (RSPB Forsinard Knockfin Heights) and 6 points in a 1km2 of lowland (Plantlife Munsary) blanket peatland within the Flow Country, Caithness and Sutherland. Data was obtained every 15 mins between September 2017 and November 2018 covering the 2018 European Drought Event. Full details about this dataset can be found at https://doi.org/10.5285/1be4eef2-0591-4073-bae2-e00b6ff4462f

Continuous measurements of rainfall from the Frome Piddle; Pang Lambourn and Tern catchments, recorded between 2002 and 2007. Continuous recording rain gauges were installed at six sites in these catchments to record 15 minute rainfall data for differing periods at the varying sites. The instruments were installed as part of the NERC funded Lowland Catchment Research (LOCAR) Programme to provide comparable baseline rainfall data across the LOCAR catchments. Full details about this dataset can be found at https://doi.org/10.5285/3ab4545b-2453-4bdf-9b48-552748632cdd

Future Flows Climate (FF-HadRM3-PPE) is an eleven-member ensemble climate projection for Great Britain at a 1-km resolution spanning from 1950 to 2098. It was specifically developed for hydrological application and contain daily time series of Available Precipitation, which is the precipiated water available to hydrological processes after delays due to snow and ice storage are accounted for; and monthly reference Potential Evapotranspiration calculated using the FAO56 method. Future Flows Climate is derived from the Hadley Centre's Regional climate projection ensemble HadRM3-PPE based on 11 different variants of the regional climate model run under the SRES A1B emission scenario. HadRM3-PPE is underpinning the UKCP09 products. Bias correction and spatial downscaling were applied to the total precpitation and air temperature variables before Future Flows Climate APr and PE were generated. The development of Future Flows Climate was made during the partnership project 'Future Flows and Groundwater Levels' funded by the Environment Agency for England and Wales, Defra, UK Water Research Industry, NERC (Centre for Ecology & Hydrology and British Geological Survey) and Wallingford HydroSolutions. Full details about this dataset can be found at https://doi.org/10.5285/bad1514f-119e-44a4-8e1e-442735bb9797

This data represents twenty-four modelled rainfall depth estimates by GridASCII files across the state of Kerala, India, for four durations (1, 6, 24 and 192 hours) and six return periods (2, 5, 10, 25, 50 and 100 years). The estimates were produced using a similar procedure to the Flood Estimation Handbook statistical method for flood frequency estimation: separately for each duration, the estimated median annual maximum (AMAX) rainfall was used as a standardizing “index” value and the estimated L-moments of the AMAX series were used to fit a generalized logistic distribution “growth curve”. The data are in units of mm at a spatial resolution of 0.12 degrees. Full details about this dataset can be found at https://doi.org/10.5285/4a08e6f1-e508-4bb6-b571-b3145dd1588e

This dataset includes temperature and precipitation depth measurements in 10 min intervals taken in 2 locations and time periods after forest fires: - Madre del Agua (Tenerife, Spain): 17/11/20 to 19/11/2021 - Thompson reservoir (Victoria, Australia): 28/03/19 to 13/01/2020 Data was collected using RainWise Rainew raingauges coupled to Onset HOBO pendant dataloggers (UA-003-64) to monitor environmental parameters related to runoff occurrence. Full details about this dataset can be found at https://doi.org/10.5285/26774f3b-d535-4800-97e4-f2fc7cf9b2da

This dataset contains over 72,000 event hyetographs associated with rainstorms that contain Annual Maximum rainfall (AMAX) values for durations between 5-min and 24-hr for a set of ~1,300 rain gauges in Great Britain. The record length and completeness varies on a gauge-by-gauge basis, the median record length is 19 years and the processed record ends in 06/2018. Note that a rainstorm may have a different duration to the associated AMAX value, e.g., a 24-hr AMAX total may be caused by an 18.25-hr event. Further note that multiple AMAX totals may be embedded within a single rainstorm, e.g., Storm Desmond can be associated with the 2-, 3-, 6-, 12- and 24-hr AMAX totals for 2009 recorded at Honister Pass. Each hyetograph is accompanied by summary statistics corresponding to the underlying rainstorm and associated AMAX totals. This dataset enables the study of the temporal characteristics of rainfall as well as more general studies regarding the climatology of AMAX-causing events in GB. Full details about this dataset can be found at https://doi.org/10.5285/3d20ce5a-9115-4ad3-a55c-d51d66863757

This dataset contains Leptospirosis case numbers for a number of place studies in Brazil, Malaysia, Philippines, Argentina, China and Sri Lanka. Leptospirosis case numbers are provided as weekly or monthly case numbers and cover the period 1978 to 2020, although timelines vary within place studies. Area-weighted daily average hydrometeorological variables are also included: precipitation, river discharge and soil moisture. The data have been collected and collated for a global analysis of the effect of hydrometeorological extremes on leptospirosis infection risk. Also included are the spatial polygons for each of the place studies. Full details about this dataset can be found at https://doi.org/10.5285/56f42170-3678-4586-b8c8-9b05f03125e1

This dataset includes rainfall, cloud and stream hydrochemistry of the Plynlimon research catchments in Mid Wales. The data cover the period from June 2011 to March 2016. Sampling was weekly from June 2011 to December 2011 and then fortnightly from January 2012. Data for the whole period are presented for major anions and cations, pH, conductivity, alkalinity and in-situ measurements such as water temperature and stream flow. From June 2011 to March 2013 data are also presented for a range of metals. Data are presented for the whole period for six stream locations and one rainfall site. Data are also for presented for two streams, Nant Iago and Tanllwyth and one cloud site for the period from June 2011 to July 2012. Stream samples were taken using a grab technique. Rain samples were collected using bulk precipitation collectors. Cloud samples were collected using a Centre of Ecology and Hydrology (CEH) Edinburgh pattern lidded harp type passive collector. This data presented follow on from the hydrochemical data presented in the dataset Plynlimon research catchment hydrochemistry (44095e17-43b0-45d4-a781-aab4f72da025) Fieldwork was carried out by CEH members of staff trained in the fieldwork techniques required. Chemical analysis was carried out by qualified CEH chemists at laboratories at CEH Lancaster and CEH Bangor. The Plynlimon research catchments lie within the headwaters of the River Severn and the River Wye in the uplands of mid-Wales. Intensive and long-term monitoring within the catchments underpins a wealth of hydrological and hydro-chemical research. Monitoring is funded by the Centre for Ecology & Hydrology, and is ongoing since 1968. Full details about this dataset can be found at https://doi.org/10.5285/794c609b-da62-4a42-a4c1-267219865bb1