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2020
DOI: 10.5194/tc-14-2715-2020
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Brief communication: Evaluating Antarctic precipitation in ERA5 and CMIP6 against CloudSat observations

Abstract: Abstract. CMIP5, CMIP6, and ERA5 Antarctic precipitation is evaluated against CloudSat data. At continental and regional scales, ERA5 and the median CMIP models are biased high, with insignificant improvement from CMIP5 to CMIP6. However, there are fewer positive outliers in CMIP6. AMIP configurations perform better than the coupled ones, and, surprisingly, relative errors in areas of complex topography are higher (up to 50 %) in the five higher-resolution models. The seasonal cycle is reproduced well by the m… Show more

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Cited by 38 publications
(27 citation statements)
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“…The main take-home message from this thesis is that short-lived and infre- [2020]; Roussel et al [2020]). A major science question going forward is to examine whether GCMs can accurately simulate the statistical distribution of extreme events and then resolve the surface mass balance impacts from those events.…”
Section: Discussionmentioning
confidence: 99%
“…The main take-home message from this thesis is that short-lived and infre- [2020]; Roussel et al [2020]). A major science question going forward is to examine whether GCMs can accurately simulate the statistical distribution of extreme events and then resolve the surface mass balance impacts from those events.…”
Section: Discussionmentioning
confidence: 99%
“…This change in precipitation ranges from 5.5 to 24.4 % during the 21 st century, depending on greenhouse gas emissions scenarios. However, the Palerme et al [11] and Roussel et al [12] studies presenting an intercomparison of CMIP5 and CMIP6 models with CloudSat observations and ERA-Interim reanalysis shows that the models overestimate precipitation in comparison with CloudSat climatology [4], sometimes by more than 100 %. And even though the simulated surface precipitation is compared to an observation level at an altitude of 1200 meters above the local surface, the discrepancy between data and models is large, and questionable for the future prediction of precipitation.…”
Section: оценка осадков в прибрежных районах антарктики в глобальной модели атмосферы Lmdz6 с использованием наземных радиолокационных наmentioning
confidence: 97%
“…And even though the simulated surface precipitation is compared to an observation level at an altitude of 1200 meters above the local surface, the discrepancy between data and models is large, and questionable for the future prediction of precipitation. In addition, the agreement between data and models is even worse for the simulation of precipitation on the plateau than over the peripheral regions [11][12].…”
Section: оценка осадков в прибрежных районах антарктики в глобальной модели атмосферы Lmdz6 с использованием наземных радиолокационных наmentioning
confidence: 99%
“…The models thus differ widely in capturing the mean value, trend, and seasonality of these variables over Antarctica with biases varying in space and amongst models, thereby posing enormous challenges for the scientific community in making reliable climate change projections (Agosta et al 2015). Recent studies based on the latest generation of models available in the Coupled Model Intercomparison Project Phase 6 (CMIP6) reported similar issues in representing precipitation over the region despite the advancement in model physics (Roussel et al 2020). These biases in GCMs are most likely caused by their low resolutions and a lack of polar-specific physics.…”
Section: Introductionmentioning
confidence: 99%