edu.ucar.opensky::articles:25421 UCAR/NCAR - Library OpenSky Support PO Box 3000 Boulder CO 80307-3000 opensky@ucar.edu http://opensky.ucar.edu/ homepage pointOfContact 2025-12-24T22:44:18.919708 ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data ISO 19115-2:2009(E) https://n2t.org/ark:/85065/d7wh2tqg https://doi.org/10.1594/PANGAEA.926911 https Related Dataset #1 Master track of POLARSTERN cruise PS122/5 in 1 sec resolution (zipped, 34 MB) https://doi.org/10.1594/PANGAEA.937781 https Related Dataset #2 Magnaprobe snow and melt pond depth measurements from the 2019-2020 MOSAiC expedition https://doi.org/10.18739/A2696ZZ9W https Related Dataset #3 Melt Pond Maps around the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) Drifting Station derived from High Resolution Optical Imagery, 2020 https://doi.org/10.18739/A2ZG6G81T https Related Dataset #4 Raw files for broadband and spectral albedo measurements of the sea ice surface during the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) campaign in the Central Arctic Ocean, April – September 2020 https://doi.org/10.26024/kgmp-c556 https Related Dataset #5 CESM2 Large Ensemble Community Project https://doi.org/10.5281/zenodo.5121824 https Related Dataset #6 Gridded airborne laserscanner (ALS) elevation data (L4) for three flights during MOSAiC (prerelease) https://doi.org/10.5439/1025153 https Related Dataset #7 ARM: AOS: aerosol-based meteorology data https://doi.org/10.5281/zenodo.5179738 https Related Other #1 MOSAiC Extended Acknowledgement Spatiotemporal evolution of melt ponds on Arctic sea ice 2022-05-11T00:00:00Z publication https://n2t.org/ark:/85065/d7wh2tqg https://doi.org/10.1525/elementa.2021.000072 Webster, M. A. author Holland, Marika M. author Wright, N. C. author Hendricks, S. author Hutter, N. author Itkin, P. author Light, B. author Linhardt, F. author Perovich, D. K. author Raphael, I. A. author Smith, M. M. author von Albedyll, L. author Zhang, J. author UCAR/NCAR - Library publisher Melt ponds on sea ice play an important role in the Arctic climate system. Their presence alters the partitioning of solar radiation: decreasing reflection, increasing absorption and transmission to the ice and ocean, and enhancing melt. The spatiotemporal properties of melt ponds thus modify ice albedo feedbacks and the mass balance of Arctic sea ice. The Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) expedition presented a valuable opportunity to investigate the seasonal evolution of melt ponds through a rich array of atmosphere-ice-ocean measurements across spatial and temporal scales. In this study, we characterize the seasonal behavior and variability in the snow, surface scattering layer, and melt ponds from spring melt to autumn freeze-up using in situ surveys and auxiliary observations. We compare the results to satellite retrievals and output from two models: the Community Earth System Model (CESM2) and the Marginal Ice Zone Modeling and Assimilation System (MIZMAS). During the melt season, the maximum pond coverage and depth were 21% and 22 +/- 13 cm, respectively, with distribution and depth corresponding to surface roughness and ice thickness. Compared to observations, both models overestimate melt pond coverage in summer, with maximum values of approximately 41% (MIZMAS) and 51% (CESM2). This overestimation has important implications for accurately simulating albedo feedbacks. During the observed freeze-up, weather events, including rain on snow, caused high-frequency variability in snow depth, while pond coverage and depth remained relatively constant until continuous freezing ensued. Both models accurately simulate the abrupt cessation of melt ponds during freeze-up, but the dates of freeze-up differ. MIZMAS accurately simulates the observed date of freeze-up, while CESM2 simulates freeze-up oneto-two weeks earlier. This work demonstrates areas that warrant future observation-model synthesis for improving the representation of sea-ice processes and properties, which can aid accurate simulations of albedo feedbacks in a warming climate. UCAR/NCAR - Library OpenSky Support PO Box 3000 Boulder CO 80307-3000 opensky@ucar.edu http://opensky.ucar.edu/ homepage pointOfContact PDF Text theme Resource Type 2016-01-01T00:00:00Z publication Copyright author(s). This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. None eng geoscientificInformation