Solar radiation; Surface Albedo; Climate Change; Global Energy Balance ; Radiation Budget; Global Dimming
Wild Martin, Hakuba Maria Z., Folini Doris, Dörig-Ott Patricia, Schär Christoph, Kato Seiji, Long Charles N. (2019), The cloud-free global energy balance and inferred cloud radiative effects: an assessment based on direct observations and climate models, in Climate Dynamics
, 52(7-8), 4787-4812.
Schwarz M., Folini D., Hakuba M. Z., Wild M. (2018), From Point to Area: Worldwide Assessment of the Representativeness of Monthly Surface Solar Radiation Records, in Journal of Geophysical Research: Atmospheres
, 123(24), 13,857-13,874.
Schwarz M., Folini D., Hakuba M. Z., Wild M. (2017), Spatial Representativeness of Surface-Measured Variations of Downward Solar RadiationSPATIOTEMPORAL REPRESENTATIVENESS OF SSR, in Journal of Geophysical Research: Atmospheres
, 122(24), 13,319-13,337.
Wang Yawen, Wild Martin, Sanchez-Lorenzo Arturo, Manara Veronica (2017), Urbanization effect on trends in sunshine duration in China, in Annales Geophysicae
, 35(4), 839-851.
Manara V., Brunetti M., Maugeri M., Sanchez-Lorenzo A., Wild M. (2017), Sunshine duration and global radiation trends in Italy (1959-2013): To what extent do they agree? To What Extent Do SD and Eg↓ Agree?, in Journal of Geophysical Research: Atmospheres
, 122(8), 4312-4331.
Wild Martin (2017), Towards Global Estimates of the Surface Energy Budget, in Current Climate Change Reports
, 3(1), 87-97.
Sanchez-Lorenzo Arturo, Enriquez-Alonso Aaron, Wild Martin, Trentmann Jörg, Vicente-Serrano Sergio M., Sanchez-Romero Alejandro, Posselt Rebekka, Hakuba Maria Z. (2017), Trends in downward surface solar radiation from satellites and ground observations over Europe during 1983–2010, in Remote Sensing of Environment
, 189, 108-117.
MatthiasSchwarz, DorisFolini, DorisF, SuYang, MartinWild, The annual cycle of fractional atmospheric shortwave absorption in observations and models: spatial structure, magnitude and timing, in Journal of Climate
Solar radiation is the fundamental energy source for the climate system, and a central component of the Global Energy Balance. Longterm observational records at worldwide radiation stations show substantial multidecadal variations in the amount of solar radiation reaching the Earth’s surface. These variations have a profound impact on various environmental issues such as global warming, glacier retreat, the strength of the global water cycle or also, on a more applied level, on agricultural production and on the rapidly growing market of solar energy generation. The variations in solar radiation reaching the Earth’s surface are much larger than variations in the solar input to the climate system, and therefore have to be due to processes internal to the climate system. To date it is debated, however, whether these variations are caused primarily by processes which reflect solar radiation back to space, such as through scattering aerosols or cloud reflection, or rather by absorptive processes, such as absorbing aerosols and cloud absorption, which have opposing impacts on global warming. A promising way to address these questions is to combine surface radiation measurements with collocated measurements of solar reflection back to space from satellites, which allows an estimation of the disposition of solar radiation in the climate system and attribution to absorption and scattering. In a previous PhD Project approved by SNF in 2011 (hereafter referred to as SNF2011), such a combined dataset of collocated surface and space-born observations has been established and applied to estimate the climatological mean absorption of solar radiation in the climate system. In this complementary follow-up proposal, this unique dataset will be extended to near present, to study the temporal variation of solar radiation in the climate system. While many of the surface radiation records span several decades back in time, adequate space born measurements began in the year 2000 with the establishment of new comprehensive satellite programs. Therefore, combined datasets of surface and space born observations can soon be established for a period exceeding 15 years, reaching a stage where temporal variability can be studied. This dataset will thus allow an unprecedented quantification of the variations in the disposition of solar radiation in the climate system, which is crucial for the understanding of climate variability since the turn of the millennium. The study period since 2000 is particularly interesting as it covers a phase where global temperatures have not been rising (“global warming hiatus”). It is therefore crucial to improve our knowledge on how the energy fluxes varied during this period. The proposed project further addresses methodological issues related to the temporal variation of solar radiation, such as the representativeness of changes measured at an observation station for a larger area, or an assessment of the influence of interannual variability on the estimated statistical parameters.