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Solar UV radiation measurements in Marambio, Antarctica, during years 2017–2019

Aun, Margit; Lakkala, Kaisa; Sanchez, Ricardo; Asmi, Eija; Nollas, Fernando; Meinander, Outi; Sogacheva, Larisa; Bock, Veerle De; Arola, Antti; Leeuw, Gerrit de; Aaltonen, Veijo; Bolsee, David; Cizkova, Klara; Mangold, Alexander; Metelka, Ladislav; Jakobson, Erko; Svendby, Tove Marit; Gillotay, Didier; Opstal, Bert Van

In March 2017, measurements of downward global irradiance of ultraviolet (UV) radiation were started with a multichannel GUV-2511 radiometer in Marambio, Antarctica (64.23∘ S; 56.62∘ W), by the Finnish Meteorological Institute (FMI) in collaboration with the Servicio Meteorológico Nacional (SMN). These measurements were analysed and the results were compared to previous measurements performed at the same site with the radiometer of the Antarctic NILU-UV network during 2000–2008 and to data from five stations across Antarctica. In 2017/2018 the monthly-average erythemal daily doses from October to January were lower than those averaged over 2000–2008 with differences from 2.3 % to 25.5 %. In 2017/2018 the average daily erythemal dose from September to March was 1.88 kJ m−2, while in 2018/2019 it was 23 % larger (2.37 kJ m−2). Also at several other stations in Antarctica the UV radiation levels in 2017/2018 were below average. The maximum UV indices (UVI) in Marambio were 6.2 and 9.5 in 2017/2018 and 2018/2019, respectively, whereas during years 2000–2008 the maximum was 12. Cloud cover, the strength of the polar vortex and the stratospheric ozone depletion are the primary factors that influence the surface UV radiation levels in Marambio. The lower UV irradiance values in 2017/2018 are explained by the high ozone concentrations in November, February and for a large part of October. The role of cloud cover was clearly seen in December, and to a lesser extent in October and November, when cloud cover qualitatively explains changes which could not be ascribed to changes in total ozone column (TOC). In this study, the roles of aerosols and albedo are of minor influence because the variation of these factors in Marambio was small from one year to the other. The largest variations of UV irradiance occur during spring and early summer when noon solar zenith angle (SZA) is low and the stratospheric ozone concentration is at a minimum (the so-called ozone hole). In 2017/2018, coincident low total ozone column and low cloudiness near solar noon did not occur, and no extreme UV indices were measured.

2020

Solar-wind-magnetosphere energy influences the interannual variability of the northern-hemispheric winter climate

He, Shengping; Wang, Huijun; Li, Fei; Li, Hui; Wang, Chi

Solar irradiance has been universally acknowledged to be dominant by quasi-decadal variability, which has been adopted frequently to investigate its effect on climate decadal variability. As one major terrestrial energy source, solar-wind energy flux into Earth's magnetosphere (Ein) exhibits dramatic interannual variation, the effect of which on Earth's climate, however, has not drawn much attention. Based on the Ein estimated by 3D magnetohydrodynamic simulations, we demonstrate a novelty that the annual mean Ein can explain up to 25% total interannual variance of the northern-hemispheric temperature in the subsequent boreal winter. The concurrent anomalous atmospheric circulation resembles the positive phase of Arctic Oscillation/North Atlantic Oscillation. The warm anomalies in the tropic stratopause and tropopause induced by increased solar-wind–magnetosphere energy persist into the subsequent winter. Due to the dominant change in the polar vortex and mid-latitude westerly in boreal winter, a ‘top-down’ propagation of the stationary planetary wave emerges in the Northern Hemisphere and further influences the atmospheric circulation and climate.

2020

Solkrem er viktigst akkurat nå

Solbakken, Christine Forsetlund

2023

Some facts on plastic additives

Nikiforov, Vladimir

2023

Some key challenges for subseasonal to decadal prediction research

Merryfield, William J.; Baehr, Johanna; Batté, Lauriane; Beraki, Asmerom; Hermanson, Leon; Hudson, Debra; Johnson, Stephanie; Lee, June-Yi; Massonet, François; Muñoz, Ángel; Orsolini, Yvan J.; Ren, Hong-Li; Saurral, Ramiro; Smith, Doug; Takaya, Yuhei; Raghavan, Krishnan

2022

SORGA (Secondary organic aerosols in the urban environment) - Modelling and measurement of carbonaceous aerosols at a rural and urban site in Norway.

Yttri, K.E.; Aas, W.; Dye, C.; Myhre, C.L.; Schmidbauer, N.J.; Simpson, D.; Slørdal, L.H.; Svendby, T.M.

2007

Sounding of aerosols with IASI - observations, retrievals and open questions.

Clarisse, L.; Hurtmans, D.; Prata, F.; Karagulian, F.; Clerbaux, C.; De Mazière, M.; Coheur, P.F.

2010

Source apportionment of black carbon in Oslo (Norway) and Vinca (Serbia)

Platt, Stephen Matthew; Yttri, Karl Espen; Hak, Claudia; Jovasevic-Stojanovic, Milena

2023

Source apportionment of carbonaceous aerosol - Quantitative estimates based on 14C- and tracer analysis. NILU F

Yttri, K.E.; Simpson, D.; Puxbaum, H.; Stenström, K.; Svendby, T.

2008

Source apportionment of circum-Arctic atmospheric black carbon from isotopes and modeling

Winiger, P.; Barrett, T. E.; Sheesley, R. J.; Huang, L.; Sharma, S.; Barrie, L. A.; Yttri, Karl Espen; Evangeliou, Nikolaos; Eckhardt, Sabine; Stohl, Andreas; Klimont, Z.; Heyes, C.; Semiletov, I. P.; Dudarev, O. V.; Charkin, A.; Shakhova, N.; Holmstrand, H.; Andersson, A.; Gustafsson, Ö.

Black carbon (BC) contributes to Arctic climate warming, yet source attributions are inaccurate due to lacking observational constraints and uncertainties in emission inventories. Year-round, isotope-constrained observations reveal strong seasonal variations in BC sources with a consistent and synchronous pattern at all Arctic sites. These sources were dominated by emissions from fossil fuel combustion in the winter and by biomass burning in the summer. The annual mean source of BC to the circum-Arctic was 39 ± 10% from biomass burning. Comparison of transport-model predictions with the observations showed good agreement for BC concentrations, with larger discrepancies for (fossil/biomass burning) sources. The accuracy of simulated BC concentration, but not of origin, points to misallocations of emissions in the emission inventories. The consistency in seasonal source contributions of BC throughout the Arctic provides strong justification for targeted emission reductions to limit the impact of BC on climate warming in the Arctic and beyond.

2019

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