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The Sensitivity of the Terrestrial Surface Energy and Water Balance Estimates in the WRF Model to Lower Surface Boundary Representations: A South Norway Case Study

Source: Journal of Hydrometeorology:;2016:;Volume( 018 ):;issue: 001:;page 265

Author(s): Erlandsen, Helene B.; Haddeland, Ingjerd; Tallaksen, Lena M.; Kristiansen, Jørn

Publisher: American Meteorological Society

Abstract: seasonal snow cover, expansive forests, a long coast line, and a mountainous terrain are features of Norway?s geography. Forests, ground snow, and sea surface temperature (SST) vary on time scales relevant for weather ...

Soil Field Model Interoperability: Challenges and Impact on Screen Temperature Forecast Skill during the Nordic Winter

Source: Journal of Hydrometeorology:;2012:;Volume( 013 ):;issue: 004:;page 1215

Author(s): Kristiansen, Jørn; Bjørge, Dag; Edwards, John M.; Rooney, Gabriel G.

Publisher: American Meteorological Society

Abstract: he high-resolution (4-km grid length) Met Office (UKMO) Unified Model forecasts driven by the coarser-resolution (8-km grid length) High-Resolution Limited-Area Model (HIRLAM), UM4, often produce significantly colder ...

How Do Laypeople Evaluate the Degree of Certainty in a Weather Report? A Case Study of the Use of the Web Service yr.no

Source: Weather, Climate, and Society:;2014:;volume( 006 ):;issue: 003:;page 399

Author(s): Sivle, Anders D.; Kolstø, Stein Dankert; Kirkeby Hansen, Pål J.; Kristiansen, Jørn

Publisher: American Meteorological Society

Abstract: any people depend on and use weather forecasts to plan their schedules. In so doing, ordinary people with no expertise in meteorology are frequently called upon to interpret uncertainty with respect to weather forecasts. ...

Citizen Observations for Weather Forecasts

Source: Bulletin of the American Meteorological Society:;2020:;volume( 101 ):;issue: 002:;page 137

Author(s): Nipen, Thomas N.;Seierstad, Ivar A.;Lussana, Christian;Kristiansen, Jørn;Hov, Øystein

Publisher: American Meteorological Society

AROME-MetCoOp: A Nordic Convective-Scale Operational Weather Prediction Model

Source: Weather and Forecasting:;2017:;volume( 032 ):;issue: 002:;page 609

Author(s): Müller, Malte; Homleid, Mariken; Ivarsson, Karl-Ivar; Køltzow, Morten A. Ø.; Lindskog, Magnus; Midtbø, Knut Helge; Andrae, Ulf; Aspelien, Trygve; Berggren, Lars; Bjørge, Dag; Dahlgren, Per; Kristiansen, Jørn; Randriamampianina, Roger; Ridal, Martin; Vignes, Ole

Publisher: American Meteorological Society

Abstract: ince October 2013 a convective-scale weather prediction model has been used operationally to provide short-term forecasts covering large parts of the Nordic region. The model is now operated by a bilateral cooperative ...

The YOPP Final Summit: Assessing Past and Forecasting Future Polar Prediction Research

Source: Bulletin of the American Meteorological Society:;2023:;volume( 104 ):;issue: 003

Author(s): Wilson, Jeff; Jung, Thomas; Bazile, Eric; Bromwich, David; Casati, Barbara; Day, Jonathan; De Coning, Estelle; Eayrs, Clare; Grumbine, Robert; Ioue, Jun; Khalsa, Siri Jodha S.; Kristiansen, Jorn; Lamers, Machiel; Liggett, Daniela; Olsen, Steffen M.; Perov

Publisher: American Meteorological Society

The YOPP Final Summit: Assessing Past and Forecasting Future Polar Prediction Research

Source: Bulletin of the American Meteorological Society:;2023:;volume( 104 ):;issue: 003:;page E660

Author(s): Wilson, Jeff; Jung, Thomas; Bazile, Eric; Bromwich, David; Casati, Barbara; Day, Jonathan; De Coning, Estelle; Eayrs, Clare; Grumbine, Robert; Ioue, Jun; Khalsa, Siri Jodha S.; Kristiansen, Jorn; Lamers, Machiel; Liggett, Daniela; Olsen, Steffen M.; Perov

Publisher: American Meteorological Society