Results 71 to 80 of about 552 (177)

Exposing and Reducing Biases of Simulating Mixed‐Phase Clouds in the Convection‐Permitting E3SM Atmosphere Model: Lessons From an Arctic Cold‐Air Outbreak

Journal of Geophysical Research: Atmospheres, Volume 131, Issue 3, 16 February 2026.
Abstract Mixed‐phase clouds modulate the water and energy cycles of high‐latitude regions, yet their liquid‐ice phase partitioning has long been poorly simulated in climate models. Here, simulations of Arctic mixed‐phase clouds by the Simple Cloud‐Resolving E3SM Atmosphere Model (SCREAM) are assessed against large‐eddy simulations, satellite data, and ...
Lin Lin, Yunyan Zhang, Hassan Beydoun, Xue Zheng, Meng Zhang, Peter Bogenschutz, Peng Wu, Peter M. Caldwell   +7 more
wiley   +1 more source

An evaluation of cloud vertical structure in three reanalyses against CloudSat/cloud‐aerosol lidar and infrared pathfinder satellite observations

Atmospheric Science Letters, 2019
Cloud fraction is a great source of uncertainty in current models. By utilizing cloudiness fields from CloudSat/cloud‐aerosol lidar and infrared pathfinder satellite observations (CALIPSO), the three widely used reanalyses including the Interim ECWMF Re ...
Hao Miao, Xiaocong Wang, Yimin Liu, Guoxiong Wu   +3 more
doaj   +1 more source

Aerosol‐Cloud Interactions: Overcoming a Barrier to Projecting Near‐Term Climate Evolution and Risk

AGU Advances, Volume 7, Issue 1, February 2026.
Abstract Aerosol‐cloud interactions (ACI) are a major source of uncertainty in climate science, critically affecting our ability to project near‐term climate evolution and assess societal risks. These interactions influence effective radiative forcing, cloud dynamics, and precipitation patterns, yet remain insufficiently constrained due to limitations ...
Ulas Im, Bjørn H. Samset, Athanasios Nenes, Jennie L. Thomas, Harri Kokkola, Oleg Dubovik, Vassilis Amiridis, Antti Arola, Nicolas Bellouin, Angela Benedetti, Merete Bilde, Sara Blichner, Stefano Decesari, Annica M. L. Ekman, Carlos Pérez García‐Pando, Silke Gross, Edward Gryspeerdt, Otto Hasekamp, Ralph A. Kahn, Anton Laakso, Ulrike Lohmann, Louis Marelle, Andreas H. Massling, Cathrine Lund Myhre, Mira Pöhlker, Johannes Quaas, Tomi Raatikainen, Ilona Riipinen, Julia Schmale, Patric Seifert, Henrik Skov, Chris Smith, Moa K. Sporre, Philip Stier, Trude Storelvmo, Kostas Tsigaridis, Bastiaan van Diedenhoven, Annele Virtanen, Ulla Wandinger, Laura J. Wilcox, Paul Zieger   +40 more
wiley   +1 more source

Evaluation of CERES and CloudSat Surface Radiative Fluxes Over Macquarie Island, the Southern Ocean

Earth and Space Science, 2020
Many studies involving surface radiative fluxes rely on surface fluxes retrieved by the Clouds and the Earth's Radiant Energy System (CERES) project or derived from spaceborne cloud radar and lidar observations (CloudSat‐CALIPSO).
Laura M. Hinkelman, Roger Marchand
doaj   +1 more source

How to reduce sampling errors in spaceborne cloud radar-based snowfall estimates [PDF]

The Cryosphere
Snowfall is an important climate change indicator affecting surface albedo, glaciers, sea ice, freshwater storage, cloud lifetime, and ecosystems. Precise snowfall measurements at high latitudes are particularly important for the estimation of the mass ...
F. E. Scarsi, F. E. Scarsi, A. Battaglia, A. Battaglia, M. Maahn, S. Lhermitte, S. Lhermitte   +6 more
doaj   +1 more source

Comparison between early Odin-SMR, Aura MLS and CloudSat retrievals of cloud ice mass in the upper tropical troposphere [PDF]

Atmospheric Chemistry and Physics, 2008
Emerging microwave satellite techniques are expected to provide improved global measurements of cloud ice mass. CloudSat, Aura MLS and Odin-SMR fall into this category and early cloud ice retrievals from these instruments are compared.
P. Eriksson, M. Ekström, B. Rydberg, D. L. Wu, R. T. Austin, D. P. Murtagh   +5 more
doaj  

Arctic cloud macrophysical characteristics from CloudSat and CALIPSO

Remote Sensing of Environment, 2012
Abstract The lidar and radar profiling capabilities of the CloudSat and Cloud-Aerosol Lidar and Infrared Pathfinder (CALIPSO) satellites provide opportunities to improve the characterization of cloud properties. An Arctic cloud climatology based on their observations may be fundamentally different from earlier Arctic cloud climatologies based on ...
Liu, Yinghui, Key, Jeffrey R., Ackerman, Steven A., Mace, Gerald G., Zhang, Qiuqing   +4 more
openaire   +2 more sources

Assessment of the cloud liquid water from climate models and reanalysis using satellite observations

Terrestrial, Atmospheric and Oceanic Sciences, 2018
We perform a model-observation comparison and report on the state-of-the-art cloud liquid water content (CLWC) and path (CLWP) outputs from the present-day global climate models (GCMs) simulations in CMIP3/CMIP5, two other GCMs (UCLA and GEOS5) and two ...
Jui-lin F. Li, Seungwon Lee, Hsi-Yen Ma, G. Stephens, Bin Guan   +4 more
doaj   +1 more source

Comparative analysis of snowfall accumulation over Antarctica in light of Ice discharge and gravity observations from space

Environmental Research Letters, 2020
The remote and cold Antarctic continent presents unique challenges to quantify precipitation rates from space and in situ observations. This has resulted in large uncertainties in current estimates.
Ali Behrangi, Alex S Gardner, David N Wiese   +2 more
doaj   +1 more source

Terminal versus transient cumulus congestus: A CloudSat perspective

Geophysical Research Letters, 2009
While cumulus congestus as an important mode of tropical convection has been established, many of the previous studies that rely on radar observations usually capture them as snapshots. A logical question to consider is: are the statistics gathered from snapshot observations of cumulus congestus really reflective of this mode of convection that ceases ...
Zhengzhao Luo, G. Y. Liu, Graeme L. Stephens, Richard H. Johnson   +3 more
openaire   +1 more source