The EUSTACE Project: Delivering Global, Daily Information on Surface Air Temperature
| العنوان: | The EUSTACE Project: Delivering Global, Daily Information on Surface Air Temperature |
|---|---|
| المؤلفون: | Joel R. Mitchelson, Tim Trent, Francesco Capponi, Emma Dodd, R. Iestyn Woolway, Nick Rayner, Renate Auchmann, Christopher J. Merchant, Finn Lindgren, Antonello A. Squintu, Pia Nielsen-Englyst, Rasmus Tonboe, John Remedios, Alison Waterfall, Elizabeth C. Kent, Karen L. Veal, Paul van der Linden, Gerard van der Schrier, Rachel Killick, John Kennedy, Ag Stephens, Colin Morice, Jonathan Winn, Darren Ghent, Patricio F. Ortiz, Elizabeth Good, Stefan Brönnimann, Yuri Brugnara, Laura Carrea, Peter Thorne, Jacob L. Høyer, Kristine S. Madsen, J. Bessembinder, Kate Winfield |
| المصدر: | Bulletin of the American Meteorological Society. 101:E1924-E1947 |
| بيانات النشر: | American Meteorological Society, 2020. |
| سنة النشر: | 2020 |
| مصطلحات موضوعية: | Atmospheric Science, Surface air temperature, Meteorology, Computation, Skin temperature, Environmental science, Statistical model, Satellite, Statistical analysis, 910 Geography & travel, User requirements document, Data type |
| الوصف: | Day-to-day variations in surface air temperature affect society in many ways, but daily surface air temperature measurements are not available everywhere. Therefore, a global daily picture cannot be achieved with measurements made in situ alone and needs to incorporate estimates from satellite retrievals. This article presents the science developed in the EU Horizon 2020–funded EUSTACE project (2015–19, www.eustaceproject.org) to produce global and European multidecadal ensembles of daily analyses of surface air temperature complementary to those from dynamical reanalyses, integrating different ground-based and satellite-borne data types. Relationships between surface air temperature measurements and satellite-based estimates of surface skin temperature over all surfaces of Earth (land, ocean, ice, and lakes) are quantified. Information contained in the satellite retrievals then helps to estimate air temperature and create global fields in the past, using statistical models of how surface air temperature varies in a connected way from place to place; this needs efficient statistical analysis methods to cope with the considerable data volumes. Daily fields are presented as ensembles to enable propagation of uncertainties through applications. Estimated temperatures and their uncertainties are evaluated against independent measurements and other surface temperature datasets. Achievements in the EUSTACE project have also included fundamental preparatory work useful to others, for example, gathering user requirements, identifying inhomogeneities in daily surface air temperature measurement series from weather stations, carefully quantifying uncertainties in satellite skin and air temperature estimates, exploring the interaction between air temperature and lakes, developing statistical models relevant to non-Gaussian variables, and methods for efficient computation. |
| وصف الملف: | text; application/pdf |
| تدمد: | 1520-0477 0003-0007 |
| DOI: | 10.1175/bams-d-19-0095.1 |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fe53c6cd3a9ff4615a4dc424f3e0afa6 https://doi.org/10.1175/bams-d-19-0095.1 |
| Rights: | OPEN |
| رقم الانضمام: | edsair.doi.dedup.....fe53c6cd3a9ff4615a4dc424f3e0afa6 |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 15200477 00030007 |
|---|---|
| DOI: | 10.1175/bams-d-19-0095.1 |