A systematic assessment of water vapor products in the Arctic: from instantaneous measurements to monthly means

• Main Authors: Crewell, Susanne, Ebell, Kerstin, Konjari, Patrick, Mech, Mario, Nomokonova, Tatiana, Radovan, Ana, Strack, David, Triana-Gómez, Arantxa M., Noël, Stefan, Scarlat, Raul, Spreen, Gunnar, Maturilli, Marion, Rinke, Annette, Gorodetskaya, Irina, Viceto, Carolina, August, Thomas, Schröder, Marc
• Format: Text
• Language: English
• Published: 2021
• Subjects: Arctic; Ny-Ålesund; North Atlantic; Ny Ålesund; Sea ice
• Online Access: https://doi.org/10.5194/amt-2020-491; https://amt.copernicus.org/preprints/amt-2020-491/

Water vapor is an important component in the water and energy cycle of the Arctic. Especially in the light of Arctic amplification, changes of water vapor are of high interest but are difficult to observe due to the data sparsity of the region. The ACLOUD/PASCAL campaign performed in May/June 2017 in the Arctic North Atlantic sector offers the opportunity to investigate the quality of various satellite and reanalysis products. Compared to reference measurements at R/V Polarstern frozen into the ice (around 82° N, 10° E) and at Ny-Ålesund, the Integrated Water Vapor (IWV) from IASI shows the best performance among all satellite products. Using all radiosonde stations within the region indicates some differences that might relate to different radiosonde types used. Though the region is well sampled by polar orbiting satellites daily means can deviate by up to 50 % due to strong spatio-temporal IWV variability associated with atmospheric river events. For monthly mean values, this weather induced variability cancels out but systematic differences dominate which particularly appear over different surface types, e.g. ocean, sea ice. In the data sparse central Arctic above 84° N, strong differences of 30 % in IWV monthly means between satellite products occur in the month of June which likely results from the difficulties to consider the complex and changing surface characteristics of the melting ice within the retrieval algorithms. There is hope that the detailed surface characterization performed as part of the recently finished Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) will foster the improvement of future retrieval algorithms.