Year: 2018
Type: article
Abstract: . Small changes in the radiation budget at the earth's surface can lead to large climatological responses when persistent over time. With the increasing debate on anthropogenic influences on climatic processes during the 1980s the need for accurate radiometric measurements with higher temporal resolution was identified, and it was determined that the existing measurement networks did not have the resolution or accuracy required to meet this need. In 1988 the WMO therefore proposed the establishment of a new international Baseline Surface Radiation Network (BSRN), which should collect and centrally archive high-quality ground-based radiation measurements in 1 min resolution. BSRN began its work in 1992 with 9 stations; currently (status 2018-01-01), the network comprises 59 stations (delivering data to the archive) and 9 candidates (stations recently accepted into the network with data forthcoming to the archive) distributed over all continents and oceanic environments. The BSRN database is the World Radiation Monitoring Center (WRMC). It is hosted at the Alfred Wegener Institute (AWI) in Bremerhaven, Germany, and now offers more than 10 300 months of data from the years 1992 to 2017. All data are available at https://doi.org/10.1594/PANGAEA.880000 free of charge.
Source: Earth system science data
Authors: Amelie Driemel, John Augustine, Klaus Behrens, Sergio Colle, Christopher Cox, Emilio Cuevas-Agulló, Fred M. Denn, Thierry Duprat, Masato Fukuda, Hannes Grobe, Martial Haeffelin, Gary Hodges, Nicole Hyett, Osamu Ijima, Ain Kallis, Wouter Knap, Vasilii Kustov, Charles N. Long, David Longenecker, Angelo Lupi, Marion Maturilli, Mohamed Mimouni, Lucky Ntsangwane, Hiroyuki Ogihara, Xabier Olano, Marc Olefs, Masao Omori, Lance Passamani, Enio Bueno Pereira, Holger Schmithüsen, Stefanie Schumacher, Rainer Sieger, Jonathan Tamlyn, Roland Vogt, Laurent Vuilleumier, Xiangao Xia, Atsumu Ohmura, Gert König-Langlo
Institutions: Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung, National Oceanic and Atmospheric Administration, NOAA Global Monitoring Laboratory, NOAA Earth System Research Laboratory, Deutscher Wetterdienst, ETH Zurich, Institute for Atmospheric and Climate Science, Universidade Federal de Santa Catarina, Cooperative Institute for Research in Environmental Sciences, NOAA Physical Sciences Laboratory, Agencia Estatal de Meteorología, Science Systems and Applications (United States), Météo-France, Japan Meteorological Agency, Laboratoire de Météorologie Dynamique, University of Colorado Boulder, Bureau of Meteorology, Keskkonnaagentuur, Royal Netherlands Meteorological Institute, Arctic and Antarctic Research Institute, Institute of Atmospheric Sciences and Climate, National Research Council, Office National de la Météorologie, South African Weather Service, National Renewable Energy Centre, Central Institution for Meteorology and Geodynamics, Instituto Nacional de Pesquisas Espaciais, Met Office, University of Basel, Federal Office of Meteorology and Climatology MeteoSwiss, Chinese Academy of Sciences, Institute of Atmospheric Physics
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
SDG: Climate action
Open Access status: gold
Estimated APC paid: $1,509
OpenAlex ID: W2788689621