Proceedings of the 9th International Workshop on Climate Informatics: CI 2019
Climate informatics is an emerging research area that combines the fields of climate science and data science (specifically machine learning, data mining and statistics) to accelerate scientific discovery in climate science. The annual climate informatics workshop, held at NCAR's Mesa Lab since 2012, promotes new collaborations and discusses new methods and directions for this emerging field. This year's proceedings contain 54 peer-reviewed short papers presented at the workshop, which describe many new methods and advances in the field. Making these papers available to all interested researchers is essential to maximize further advances in this important field.
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https://n2t.org/ark:/85065/d7gf0xp3
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2016-01-01T00:00:00Z
Hydrologic and terrestrial water cycle models
Water management
El nino southern oscillation (enso)
Data mining
Monsoons
Extreme weather
Cloud properties
Data analysis
Soil moisture
Snow water equivalent
Discharge/flow
Isotopes
Species/population interactions
Cryosphere models
Sea surface temperature reconstruction
Data access/retrieval
Vegetation optical depth
Avalanche
Ocean general circulation models (ogcm)/regional ocean models
Water temperature
Fresh water river discharge
Extratropical cyclones
Cloud radiative transfer
Floods
Cave deposits
Coupled climate models
Heat flux
Data visualization
Atmospheric ozone
Temperature anomalies
Precipitation amount
Earth science reanalyses/assimilation models
Precipitation variability
Hazards planning
Statistical applications
Rain storms
Cloud types
Species migration
Carbon
Particulates
Temperature variability
Hazards mitigation
Hazard mapping
Cropland
Monsoon onset/intensity
Tropospheric/high-level clouds (observed/analyzed)
Outgoing longwave radiation
Primary production
Atmospheric heating
Climate mitigation
Atmospheric general circulation models
Tropical cyclones
Air temperature reconstruction
Weather research/forecast models
Image processing
Sea surface temperature
revision
2021-09-17
publication
2019-12-01T00:00:00Z
Copyright Author(s). Distributed under license by the University Corporation for Atmospheric Research (UCAR). This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
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