the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Brief communication: Reanalyses underperform in cold regions, raising concerns for climate services and research
Abstract. Many changes in cold regions are amplified by nonlinear processes involving ice, and have important consequences locally and globally. We show that the average ensemble spread of the mean annual air temperature (1.5 °C) in the reanalyses is 90 % greater in cold regions compared to the other regions and shows pronounced disagreement in the trend. The ensemble spread in the mean annual maximum snow water equivalent is found greater than the ensemble mean. The reduced quality of reanalyses in cold regions, coinciding with sparse in situ observations and low population, points to challenges in how we represent cold-regions phenomena in simulation systems and limits our ability to support climate research and services.
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CC1: 'Comment on egusphere-2025-575', Steven Margulis, 28 Feb 2025
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This is nice work, highlighting the issue of the high uncertainty of estimates of cold-land processes in reanalysis that are often used for making assessment of snow-derived water availability and how it may be changing. Some recent work that compared some of these global products to an observationally-constrained snow reanalysis dataset shed similar light and may be worth including in the Introduction for context.
Fang, Y., Y. Liu, D. Li, H. Sun, and S.A. Margulis, 2023. Spatiotemporal snow water storage uncertainty in the midlatitude American Cordillera, The Cryosphere, 17, 5175–5195, https://doi.org/10.5194/tc-17-5175-2023
Liu, Y., Y. Fang, D. Li, and S.A. Margulis, 2022. How well do global snow products characterize snow storage in High Mountain Asia? Geophysical Research Letters, 49, e2022GL100082. https://doi.org/10.1029/2022GL100082
Citation: https://doi.org/10.5194/egusphere-2025-575-CC1
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