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Validation of the TROPOspheric Monitoring Instrument (TROPOMI) surface UV radiation product

Lakkala, Kaisa; Kujanpää, Jukka; Brogniez, Colette; Henriot, Nicolas; Arola, Antti; Aun, Margit; Auriol, Frédérique; Bais, Alkiviadis F.; Bernhard, Germar; De Bock, Veerle; Catalfamo, Maxime; Deroo, Christine; Diémoz, Henri; Egli, Luca; Forestier, Jean-Baptiste; Fountoulakis, Ilias; Garane, Katerina; Garcia, Rosa Delia; Gröbner, Julian; Hassinen, Seppo; Heikkilä, Anu; Henderson, Stuart; Hülsen, Gregor; Johnsen, Bjørn; Kalakoski, Niilo; Karanikolas, Angelos; Karppinen, Tomi; Lamy, Kevin; León-Luis, Sergio F.; Lindfors, Anders V.; Metzger, Jean-Marc; Minvielle, Fanny; Muskatel, Harel B.; Portafaix, Thierry; Redondas, Alberto; Sanchez, Ricardo; Siani, Anna Maria; Svendby, Tove Marit; Tamminen, Johanna

The TROPOspheric Monitoring Instrument (TROPOMI) onboard the Sentinel-5 Precursor (S5P) satellite was launched on 13 October 2017 to provide the atmospheric composition for atmosphere and climate research. The S5P is a Sun-synchronous polar-orbiting satellite providing global daily coverage. The TROPOMI swath is 2600 km wide, and the ground resolution for most data products is 7.2×3.5 km2 (5.6×3.5 km2 since 6 August 2019) at nadir. The Finnish Meteorological Institute (FMI) is responsible for the development of the TROPOMI UV algorithm and the processing of the TROPOMI surface ultraviolet (UV) radiation product which includes 36 UV parameters in total. Ground-based data from 25 sites located in arctic, subarctic, temperate, equatorial and Antarctic areas were used for validation of the TROPOMI overpass irradiance at 305, 310, 324 and 380 nm, overpass erythemally weighted dose rate/UV index, and erythemally weighted daily dose for the period from 1 January 2018 to 31 August 2019. The validation results showed that for most sites 60 %–80 % of TROPOMI data was within ±20 % of ground-based data for snow-free surface conditions. The median relative differences to ground-based measurements of TROPOMI snow-free surface daily doses were within ±10 % and ±5 % at two-thirds and at half of the sites, respectively. At several sites more than 90 % of cloud-free TROPOMI data was within ±20 % of ground-based measurements. Generally median relative differences between TROPOMI data and ground-based measurements were a little biased towards negative values (i.e. satellite data < ground-based measurement), but at high latitudes where non-homogeneous topography and albedo or snow conditions occurred, the negative bias was exceptionally high: from −30 % to −65 %. Positive biases of 10 %–15 % were also found for mountainous sites due to challenging topography. The TROPOMI surface UV radiation product includes quality flags to detect increased uncertainties in the data due to heterogeneous surface albedo and rough terrain, which can be used to filter the data retrieved under challenging conditions.

2020

Validation practices for satellite soil moisture retrievals: What are (the) errors?

Gruber, Alexander; de Lannoy, Gabriëlle J.M; Albergel, Clément; Al-Yaari, Amen; Brocca, Luca; Calvet, Jean-Christophe; Colliander, Andreas; Cosh, Michael H.; Crow, Wade T.; Dorigo, Wouter Arnaud; Draper, Clara Sophie; Hirschi, Martin; Kerr, Yann H.; Konings, Alexandra G.; Lahoz, William A.; McColl, Kaighin Alexander; Montzka, Carsten; Muñoz-Sabater, Joaquín ; Peng, Jian; Reichle, Rolf H.; Richaume, Philippe; Rüdiger, Christoph; Scanlon, Tracy; van der Schalie, Robin; Wigneron, Jean Pierre; Wagner, Wolfgang

This paper presents a community effort to develop good practice guidelines for the validation of global coarse-scale satellite soil moisture products. We provide theoretical background, a review of state-of-the-art methodologies for estimating errors in soil moisture data sets, practical recommendations on data pre-processing and presentation of statistical results, and a recommended validation protocol that is supplemented with an example validation exercise focused on microwave-based surface soil moisture products. We conclude by identifying research gaps that should be addressed in the near future.

2020

Valuing mangrove biodiversity and ecosystem services: A deliberative choice experiment in Mida Creek, Kenya

Owuor, Margaret Awuor; Mulwa, Richard; Otieno, Philip; Icely, John; Newton, Alice

Elsevier

2019

VANDAM Final Report. June 2020.

Fjæraa, Ann Mari; Schneider, Philipp; Svendby, Tove Marit

The current document summaries the work carried out in the PRODEX project NILU VANDAM: PEA: 4000118977.

NILU

2020

Vannskader - skadebegrensning, uttørking og sanering.

Blom, P.; Mattson, J.; Innset, B.

2003

Vapour phase mercury in air.

Berg, T.; Røyset, O.; Vadset, M.

1999

Variability in Atmospheric Methane From Fossil Fuel and Microbial Sources Over the Last Three Decades

Thompson, Rona Louise; Nisbet, E. G.; Pisso, Ignacio; Stohl, Andreas; Blake, D.; Dlugokencky, E. J.; Helmig, D.; White, J. W. C.

Atmospheric measurements show an increase in CH4 from the 1980s to 1998 followed by a period of near‐zero growth until 2007. However, from 2007, CH4 has increased again. Understanding the variability in CH4 is critical for climate prediction and climate change mitigation. We examine the role of CH4 sources and the dominant CH4 sink, oxidation by the hydroxyl radical (OH), in atmospheric CH4 variability over the past three decades using observations of CH4, C2H6, and δ13CCH4 in an inversion. From 2006 to 2014, microbial and fossil fuel emissions increased by 36 ± 12 and 15 ± 8 Tg y−1, respectively. Emission increases were partially offset by a decrease in biomass burning of 3 ± 2 Tg y−1 and increase in soil oxidation of 5 ± 6 Tg y−1. A change in the atmospheric sink did not appear to be a significant factor in the recent growth of CH4.

American Geophysical Union (AGU)

2018

Variability of Albedo Using an Unmanned Aerial Vehicle (VAUUAV).

Burkhart, J.F.; Pedersen, C.A.; Bogren, W.; Gerland, S.; Storvald, R.; Kohler, J.; Kokhanovsky, A.A.; Strom, J.

2009

Variations in methane fluxes in the high northern latitudes over the past decade estimated from a Bayesian Inversion

Thompson, R. L.; Sasakawa, M.; Machida, T.; Aalto, T.; Worthy, D.; Lavric, J. V.; Myhre, C. L.; Stohl, A.

2016

Variations in ozone depletion potentials of very short-lived substances with season and emission region. NILU F

Brioude, J.; Portmann, R.W.; Daniel, J.S.; Cooper, O.R.; Frost, G.J.; Rosenlof, K.H.; Granier, C.; Ravishankara, A.R.; Montzka, S.A.; Stohl, A.

2010

Variations in ozone depletion potentials of very short-lived substances with season and emission region.

Brioude, J.; Portmann, R.W.; Daniel, J.S.; Cooper, O.R.; Frost, G.J.; Rosenlof, K.H.; Granier, C.; Ravishankara, A.R.; Montzka, S.A.; Stohl, A.

2010

Variations in tropospheric submicron particle size distributions across the European continent 2008-2009.

Beddows, D.C.S.; Dall'Osto, M.; Harrison, R. M.; Kulmala, M.; Asmi, A.; Wiedensohler, A.; Laj, P.; Fjaeraa, A.M.; Sellegri, K.; Birmili, W.; Bukowiecki, N.; Weingartner, E.; Baltensperger, U.; Zdimal, V.; Zikova, N.; Putaud, J.-P.; Marinoni, A.; Tunved, P.; Hansson, H.-C.; Fiebig, M.; Kivekäs, N.; Swietlicki, E.; Lihavainen, H.; Asmi, E.; Ulevicius, V.; Aalto, P.P.; Mihalopoulos, N.; Kalivitis, N.; Kalapov, I.; Kiss, G.; de Leeuw, G.; Henzing, B.; O'Dowd, C.; Jennings, S.G.; Flentje, H.; Meinhardt, F.; Ries, L.; Denier van der Gon, H.A.C.; Visschedijk, A.J.H.

2014

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