Baseline Surface Radiation Network (BSRN): structure and data description (1992–2017)
Open accessPublished version of a preprint
Abstract
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.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In Regina, ambient temperatures can range from -30 °C to 30 °C over a year.
“This region is chosen for its wide variation of ambient temperatures, which can range from -30 °C to 30 °C over a year (Fig. 12).”
From Flexible Simulation of an Electric Vehicle to Estimate the Impact of Thermal Comfort on the Energy Consumption (2022) · cites this paper as [48]
The station table in Section 6 lists Regina (REG), but gives no ambient-temperature range for it. Searches for Regina’s annual temperatures and the −30 °C to 30 °C range found no passage in our copy that verifies those values. (LLM, conf=0.76)
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
No references could be resolved yet.
Research works printed but not linked: 27
- BSRN: Report of the 12th Baseline Surface Radiation Network (BSRN) Scientific Review and Workshop, Potsdam, Germany, 1-3 August 2012, 1-34, available at: http://hdl.handle.net/10013/ epic.09bd5b76-1cf5-4460-9be6-f523aea1ad34 (last access: 28 July 2018), 2012.
- Charlson, R. J., Schwartz, S. E., Hales, J. M., Cess, R. D., Coak- ley Jr., J. A., Hansen, J. E., and Hofmann, D. J.: Climate Forcing by Anthropogenic Aerosols, Science, 255, 423-430, https://doi.org/10.1126/science.255.5043.423, 1992. · DOI
- Chylek, P., Lohmann, U., Dubey, M., Mishchenko, M., Kahn, R., and Ohmura, A.: Limits on climate sensitivity derived from re- cent satellite and surface observations, J. Geophys. Res., 112, D24S04, https://doi.org/10.1029/2007JD008740, 2007. · DOI
- Hegner H., Müller, G., Nespor, V., Ohmura, A., Steigrad, R., and Gilgen, H.: Technical Plan for BSRN Data Management - 1998 Update, WMO/TD-No. 882, WCRP/WMO, available at: http://hdl.handle.net/10013/epic.39581.d001 (last access: 28 July 2018), 1998.
- Hofmann, M. and Seckmeyer, G.: Influence of various ir- radiance models and their combination on simulation results of photovoltaic systems, Energies, 10, 1495, https://doi.org/10.3390/en10101495, 2017. · DOI
- Iqbal, M.: Introduction to Solar Radiation, Academic Press, New York, 1983.
- Kim, D. Y. and Ramanathan, V.: Solar radiation budget and radia- tive forcing due to aerosols and clouds, J. Geophys. Res., 113, D02203, https://doi.org/10.1029/2007JD008434, 2008. · DOI
- Kwok, R. and Untersteiner, N.: The thinning of Arctic sea ice, Physics Today, 64, 36, https://doi.org/10.1063/1.3580491, 2011. · DOI
- Lanconelli, C., Busetto, M., Dutton, E. G., König-Langlo, G., Maturilli, M., Sieger, R., Vitale, V., and Yamanouchi, T.: Po- lar baseline surface radiation measurements during the Inter- national Polar Year 2007-2009, Earth Syst. Sci. Data, 3, 1-8, https://doi.org/10.5194/essd-3-1-2011, 2011. · DOI
- Long, C. N. and Shi, Y.: An automated quality as- sessment and control algorithm for surface radia- tion measurements, Open Atmos. Sci. J., 2, 23-37, https://doi.org/10.2174/1874282300802010023, 2008. · DOI
- Long, C. N., Younkin, K., and Powell, D. M.: Analysis of the Dutton et al. IR Loss Correction Technique Ap- plied to ARM Diffuse SW Measurements, Eleventh ARM Science Team Meeting Proceedings, Atlanta, Georgia, 19- 23 March 2001, available at: http://hdl.handle.net/10013/epic. 324172b4-606e-4a17-95f6-9337e26914da (last access: 28 July 2018), 2001.
- Long, C. N., Dutton, E. G., Augustine, J. A., Wiscombe, W., Wild, M., McFarlane, S. A., and Flynn, C. J.: Sig- nificant Decadal Brightening of Downwelling Shortwave in the Continental US, J. Geophys. Res., 114, D00D06, https://doi.org/10.1029/2008JD011263, 2009. · DOI
- Matsui, N., Long, C. N., Augustine, J., Halliwell, D., Uttal, T., Longenecker, D., Niebergall, O., Wendell, J., and Albee, R.: Evaluation of Arctic broadband surface radiation measurements, Atmos. Meas. Tech., 5, 429-438, https://doi.org/10.5194/amt-5- 429-2012, 2012. · DOI
- Michalsky, J., Kutchenreiter, M., and Long, C. N.: Significant Im- provements in Pyranometer Offsets Using Ventilation Strategies, JAOTech, 34, 1323-1332, https://doi.org/10.1175/JTECH-D-16- 0224.1, 2017. · DOI
- Moshövel, J., Kairies, K.-P., Magnor, D., Leuthold, M., Bost, M., Gährs, S., Szczechowicz, E., Cramer, M., and Sauer, D. U.: Analysis of the maximal possible grid relief from PV-peak-power impacts by using storage systems for in- creased self-consumption, Appl. Energ., 137, 567-575, https://doi.org/10.1016/j.apenergy.2014.07.021, 2015. · DOI
- Müller Schmied, H., Müller, R., Sanchez-Lorenzo, A., Ahrens, B., and Wild, M.: Evaluation of radiation components in a global freshwater model with station-based observations, Water, 8, 450, https://doi.org/10.3390/w8100450, 2016. · DOI
- Nyeki, S., Wacker, S., Gröbner, J., Finsterle, W., and Wild, M.: Revising shortwave and longwave radiation archives in view of possible revisions of the WSG and WISG reference scales: methods and implications, Atmos. Meas. Tech., 10, 3057-3071, https://doi.org/10.5194/amt-10-3057-2017, 2017. · DOI
- Ohmura, A., Dutton, E. G., Forgan, B., Fröhlich, C., Gilgen, H., Hegner, H., Heimo, A., König-Langlo, G., McArthur, B., Müller, G., Philipona, R., Pinker, R., Whitlock, C. H., Dehne, K., and Wild, M.: Baseline surface radiation network (BSRN/WCRP): New precision radiometry for climate research, B. Am. Meteorol. Soc., 79, 2115-2136, https://doi.org/10.1175/1520- 0477(1998)079<2115:BSRNBW>2.0.CO;2, 1998. · DOI
- Olefs, M., Baumgartner, D. J., Obleitner, F., Bichler, C., Foelsche, U., Pietsch, H., Rieder, H. E., Weihs, P., Geyer, F., Haiden, T., and Schöner, W.: The Austrian radiation monitoring network ARAD -best practice and added value, Atmos. Meas. Tech., 9, 1513- 1531, https://doi.org/10.5194/amt-9-1513-2016, 2016. · DOI
- Pinker, R. T., Zhang, B., and Dutton, E. G.: Do Satellites De- tect Trends in Surface Solar Radiation?, Science, 308, 850-854, https://doi.org/10.1126/science.1103159, 2005. · DOI
- Roesch, A., Wild, M., Ohmura, A., Dutton, E. G., Long, C. N., and Zhang, T.: Assessment of BSRN radiation records for the com- putation of monthly means, Atmos. Meas. Tech., 4, 339-354, https://doi.org/10.5194/amt-4-339-2011, 2011. · DOI
- Vuilleumier, L., Hauser, M., Félix, C., Vignola, F., Blanc, P., Kazantzidis, A., and Calpini, B.: Accuracy of ground surface broadband shortwave radiation moni- toring, J. Geophys. Res.-Atmos., 119, 13838-13860, https://doi.org/10.1002/2014JD022335, 2014. · DOI
- Wild, M.: Short-wave and long-wave surface radiation budgets in GCMs: a review based on the IPCC-AR4/CMIP3 models, Tellus, 60, 932-945, https://doi.org/10.1111/j.1600-0870.2008.00342.x, 2008. · DOI
- Wild, M., Gilgen, H., Roesch, A., Ohmura, A., Long, C., Dut- ton, E., Forgan, B., Kallis, A., Russak, V., and Tsvetkov, A.: From dimming to brightening: Decadal changes in so- lar radiation at the Earth's surface, Science, 308, 847-850, https://doi.org/10.1126/science.1103215, 2005. · DOI
- Wild, M., Folini, D., Schär, C., Loeb, N., Dutton, E. G., and König-Langlo, G.: The global energy balance from a surface perspective, Clim. Dynam., 40, 3107-3134, https://doi.org/10.1007/s00382-012-1569-8, 2013. · DOI
- Wild, M., Ohmura, A., Schär, C., Müller, G., Folini, D., Schwarz, M., Hakuba, M. Z., and Sanchez-Lorenzo, A.: The Global En- ergy Balance Archive (GEBA) version 2017: a database for worldwide measured surface energy fluxes, Earth Syst. Sci. Data, 9, 601-613, https://doi.org/10.5194/essd-9-601-2017, 2017. · DOI
- Xia, X., Li, Z., Wang, P., Chen, H., and Cribb, M.: Esti- mation of aerosol effects on surface irradiance based on measurements and radiative transfer model simula- tions in northern China, J. Geophys. Res., 112, D22S10, https://doi.org/10.1029/2006JD008337, 2007. · DOI
Cited by
Sorted by citations
Bosveld, F. C., Baas, P., Beljaars, A. C. M., Holtslag, A. A. M., de Arellano, J. V.-G., & van de Wiel, B. J. H. (2020) · Boundary-Layer Meteorology · doi:10.1007/s10546-020-00541-w · Cited by 82 · see citing works
Ramsey, D., Bouscayrol, A., Boulon, L., Desreveaux, A., & Vaudrey, A. (2022) · IEEE Transactions on Transportation Electrification · doi:10.1109/tte.2022.3144526 · Cited by 39 · see citing works
- Authors
- Driemel, A., Augustine, J., Behrens, K., Colle, S., Cox, C., Cuevas-Agulló, E., Denn, F. M., Duprat, T., Fukuda, M., Grobe, H., Haeffelin, M., Hodges, G., Hyett, N., Ijima, O., Kallis, A., Knap, W., Kustov, V., Long, C. N., Longenecker, D., Lupi, A., Maturilli, M., Mimouni, M., Ntsangwane, L., Ogihara, H., Olano, X., Olefs, M., Omori, M., Passamani, L., Pereira, E. B., Schmithüsen, H., Schumacher, S., Sieger, R., Tamlyn, J., Vogt, R., Vuilleumier, L., Xia, X., Ohmura, A., & König-Langlo, G.
- Affiliations
- Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung (DE)
- National Oceanic and Atmospheric Administration (US)
- Deutscher Wetterdienst (DE)
- Science Systems and Applications (United States) (US)
- Météo-France (FR)
- Japan Meteorological Agency (JP)
- Laboratoire de Météorologie Dynamique (FR)
- Cooperative Institute for Research in Environmental Sciences (US)
- Bureau of Meteorology (AU)
- Keskkonnaagentuur (EE)
- Royal Netherlands Meteorological Institute (NL)
- Arctic and Antarctic Research Institute (RU)
- Institute of Atmospheric Sciences and Climate (IT)
- Office National de la Météorologie (DZ)
- South African Weather Service (ZA)
- National Renewable Energy Centre (ES)
- Central Institution for Meteorology and Geodynamics (AT)
- Met Office (GB)
- University of Basel (CH)
- Federal Office of Meteorology and Climatology MeteoSwiss (CH)
- Chinese Academy of Sciences (CN)
- ETH Zurich (CH)
- Corresponding author
- Driemel, Amelie
- ORCID
- Driemel, Amelie
- Augustine, John
- Cox, Christopher
- Cuevas-Agulló, Emilio
- Grobe, Hannes
- Haeffelin, Martial
- Kallis, Ain
- Knap, Wouter
- Long, Charles N.
- Lupi, Angelo
- Maturilli, Marion
- Mimouni, Mohamed
- Ntsangwane, Lucky
- Olano, Xabier
- Olefs, Marc
- Schmithüsen, Holger
- Schumacher, Stefanie
- Sieger, Rainer
- Vogt, Roland
- Vuilleumier, Laurent
- Xia, Xiangao
- Venue
- Earth System Science Data
- Publisher
- Copernicus GmbH
- Published
- 2018-08-21
- Volume
- 10
- Issue
- 3
- Pages
- 1491-1501
- ISSN
- 1866-3508 (ISSN-L)
- 1866-3516
- OpenAlex
- W2788689621
- Cited by
- 490
- References
- 0
- Citations by year
- 2026: 55 · 2025: 55 · 2024: 84 · 2023: 84 · 2022: 77 · 2021: 60 · 2020: 49 · 2019: 22 · 2018: 4
- FWCI
- 19.02
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Earth system science data (publishedVersion, cc-by)
- Repository for Publications and Research Data (ETH Zurich) (publishedVersion, cc-by)
- Arcimis (State Meteorological Agency) (submittedVersion, cc-by-nc-nd)
- CU Scholar (University of Colorado Boulder) (submittedVersion, cc-by)
- HAL (submittedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- TECNALIA Publications (Fundación TECNALIA Research & Innovation) (submittedVersion, cc-by)
- edoc (University of Basel) (submittedVersion)
- Helmholtz-Zentrum für Polar-und Meeresforschung (Alfred-Wegener-Institut) (submittedVersion)
- NOAA Institutional Repository (submittedVersion)
- Biogeosciences (European Geosciences Union) (submittedVersion)
- Biblioteca Digital da Memória Científica do INPE (National Institute for Space Research) (submittedVersion)
- ETH Zürich Research Collection (cc-by)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Solar Radiation and Photovoltaics
- Physical Sciences › Environmental Science › Global and Planetary Change › Atmospheric aerosols and clouds
- Physical Sciences › Engineering › Aerospace Engineering › Calibration and Measurement Techniques
- Keywords
- Baseline Surface Radiation Network, surface radiation budget, high temporal resolution, Wmo, anthropogenic climate influence, radiation monitoring network
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review