From 1 - 10 / 22
  • Microclimate data collected hourly at Anchorage Island, for 15 climatic variables via automatic data loggers, from 2001-2009. Data is not available across the entire temporal range for all variables. NERC funded under the British Antarctic Survey National Capability programme, Polar Science for Planet Earth.

  • Temperature, pressure, wind speed and wind direction from two automatic weather stations on the Brunt Ice Shelf that operated during 2015.

  • Microclimate data collected hourly at Coal Nunatak, for 10 climatic variables via automatic data loggers, 2006-2019. Data is not available across the entire temporal range for all variables. NERC funded under the British Antarctic Survey National Capability programme, Polar Science for Planet Earth. **Please be advised to use Version 2.0 of this dataset, which has undergone additional quality control, found here: https://data.bas.ac.uk/metadata.php?id=GB/NERC/BAS/PDC/01598**

  • READER (REference Antarctic Data for Environmental Research) is a project of the Scientific Committee on Antarctic Research (SCAR http://www.scar.org/) and has the goal of creating a high quality, long term dataset of mean surface and upper air meteorological measurements from in-situ Antarctic observing systems. These data will be of value in climate research and climate change investigations. The primary sources of data are the Antarctic research stations and automatic weather stations. Data from mobile platforms, such as ships and drifting buoys are not being collected since our goal is to derive time series of data at fixed locations. Surface and upper air data are being collected and the principal statistics derived are monthly and annual means. Daily data will not be provided in order to keep the data set to a manageable size. With the resources available to the project, it is clearly not possible to collect all the information that could be required by the whole range of investigations into change in the Antarctic. Instead a key set of meteorological variables (surface temperature, mean sea level pressure and surface wind speed, and upper air temperature, geopotential height and wind speed at standard levels) are being assembled and a definitive set of measurements presented for use by researchers. A lot of stations have been operated in the Antarctic over the years; many for quite short periods. However, our goal here is to provide information on the long time series that can provide insight into change in the Antarctic. So to be included, the record from a station must extend for 25 years, although not necessarily in a continuous period, or be currently in operation and have operated for the last 10 years. In READER we have chosen to use only data from year-round stations.

  • Precipitation and near-surface temperature data from the Coupled Model Intercomparison Project phase 5 (CMIP5 models) are statistically downscaled to create these gridded datasets over the Rio Santa River Basin (in the Cordillera Blanca; d02) and the Vilcanota-Urubamba region (d03) at 4 km horizontal resolution, from 2019-2100. The bias-corrected WRF data found in the related dataset are used as the observational truth for the historical period 1980-2018, and the data are downscaled using an empirical quantile mapping technique. Two representative concentration pathways (RCP) have been downscaled, RCP 4.5 and RCP 8.5, from 30 CMIP5 models. The daily total precipitation and daily minimum and maximum temperature at 2 m are downscaled, and the daily average and monthly average temperatures are calculated using the hourly temperature (not archived due to space constraints). The potential evapotranspiration is estimated from the downscaled precipitation and temperature data, using the Hargreaves equation. These data were corrected as part of the PEGASUS (Producing EnerGy and preventing hAzards from SUrface water Storage in Peru) and Peru GROWS (Peruvian Glacier Retreat and its Impact on Water Security) projects. The datasets were created to assess future climate in the Peruvian Andes, as a basis to determine future climate in the region, and as an input for glaciological and hydrological models. The data were created on the JASMIN supercomputer. The creation of this data was conducted under the Peru GROWS and PEGASUS projects, which were both funded by NERC (grants NE/S013296/1 and NE/S013318/1, respectively) and CONCYTEC through the Newton-Paulet Fund. The Peruvian part of the Peru GROWS project was conducted within the framework of the call E031-2018-01-NERC "Glacier Research Circles", through its executing unit FONDECYT (Contract No. 08-2019-FONDECYT).

  • Microclimate data collected hourly at Jane Col, for 12 climatic variables via automatic data loggers, 2007-2016. Data is not available across the entire temporal range for all variables. NERC funded under the British Antarctic Survey National Capability programme, Polar Science for Planet Earth. **Please be advised to use Version 2.0 Data** Version 2.0 (see ''Related Data Set Metadata'' link below) has undergone quality control and includes flags for potential outliers in data.

  • Meteorological variables (wind speed, air temperature and wind direction) were collected using two wind towers. Photogrammetric data were collected using a pole-mounted digital camera and DJI Phantom 3 UAV. LiDAR data collected via terrestrial and airborne laser scanning. Fieldwork carried out at Hintereisferner glacier, in the Oetztal Alps region, Tyrol, Austria, from 1-15 August 2018 by Joshua Chambers, Thomas Smith and Mark Smith. Terrestrial laser scan (TLS) data collected by Rudolf Sailer. Airborne laser scan (ALS) data originally from Open Data Austria, see Sailer et al. (2012). One wind tower recorded for the entire study duration, the second was moved to different plots every ~4 days. Photogrammetric data were collected on 8, 10, 11, 12 and 13 August. TLS scans were split into upper- and lower-glacier, and completed on 3, 7, 12 and 16 August. Data were used to examine the relations between glacier aerodynamic roughness and sampling resolution, and to develop a correction factor for roughness derived from coarser resolution data. Fieldwork was funded by an INTERACT Transnational Access grant awarded to Mark Smith under the European Union H2020 Grant Agreement No. 730938. Joshua Chambers is supported by a NERC PhD studentship (NE/L002574/1). Ivana Stiperski was funded by Austrian Science Fund (FWF) grant T781-N32.

  • Temperature and precipitation data from the Weather Research and Forecasting model are bias-corrected against observations to create these bias-corrected gridded datasets over the Rio Santa River Basin (in the Cordillera Blanca) at 4 km horizontal resolution (d02), the Vilcanota-Urubamba region at 4 km horizontal resolution (d03) and the upper region of the Rio Santa River Basin at 800 m horizontal resolution (d04). The raw WRF data can be found in the related dataset. Full details of the bias-correction can be found in Fyffe et al., (2021). These data were corrected as part of the PEGASUS (Producing EnerGy and preventing hAzards from SUrface water Storage in Peru) and Peru GROWS (Peruvian Glacier Retreat and its Impact on Water Security) projects. The datasets were created to assess past climate in the Peruvian Andes, as a basis to determine future climate in the region, and as an input for glaciological and hydrological models. The data were created using the British Antarctic Survey high performance computer. The creation of this data was conducted under the Peru GROWS and PEGASUS projects, which were both funded by NERC (grants NE/S013296/1 and NE/S013318/1, respectively) and CONCYTEC through the Newton-Paulet Fund. The Peruvian part of the Peru GROWS project was conducted within the framework of the call E031-2018-01-NERC "Glacier Research Circles", through its executing unit FONDECYT (Contract No. 08-2019-FONDECYT).

  • UK Met Office UM (Unified Model) output for Larsen Ice Shelf, run at 4km resolution. Modelling was carried out to support the Orographic Flows and the Climate of the Antarctic Peninsula (OFCAP) project during the 2010-2011 field season.

  • The data consists of 30 minute observations recorded by an automatic weather station (iWS 18) in Cabinet Inlet on Larsen C Ice Shelf on the Antarctic Peninsula. The iWS consists of a custom-built weather station unit, assembled at the Institute of Marine and Atmospheric research Utrecht (IMAU). There are sensors for air temperature, surface air pressure, relative humidity, as well as a GPS, an acoustic snow height sensor, an ARGOS communication antenna, and three Lithium batteries that fuel the unit when solar radiation is absent. The unit is complemented by a propeller-vane Young anemometer measuring wind direction and speed. Additionally, all radiation fluxes are measured with a Kipp and Zonen CNR4 radiometer. This dataset runs from 25 November 2014 to 13 November 2017. Funding was provided by the NERC grant NE/L005409/1.