Zobrazeno 1 - 10
of 152
pro vyhledávání: '"Thorarinsdottir, Thordis L"'
Autor:
Scheuerer, Michael, Heinrich-Mertsching, Claudio, Bahaga, Titike K., Gudoshava, Masilin, Thorarinsdottir, Thordis L.
Seasonal climate forecasts are commonly based on model runs from fully coupled forecasting systems that use Earth system models to represent interactions between the atmosphere, ocean, land and other Earth-system components. Recently, machine learnin
Externí odkaz:
http://arxiv.org/abs/2409.06238
Autor:
Guttorp, Peter, Illian, Janine, Kostensalo, Joel, Kuronen, Mikko, Myllymäki, Mari, Särkkä, Aila, Thorarinsdottir, Thordis L.
Many natural systems are observed as point patterns in time, space, or space and time. Examples include plant and cellular systems, animal colonies, earthquakes, and wildfires. In practice the locations of the points are not always observed correctly
Externí odkaz:
http://arxiv.org/abs/2310.02292
Autor:
Roksvåg, Thea, Lenkoski, Alex, Scheuerer, Michael, Heinrich-Mertsching, Claudio, Thorarinsdottir, Thordis L.
Agricultural food production and natural ecological systems depend on a range of seasonal climate indicators that describe seasonal patterns in climatological conditions. This paper proposes a probabilistic forecasting framework for predicting the en
Externí odkaz:
http://arxiv.org/abs/2201.01121
Autor:
Heinrich-Mertsching, Claudio, Wahl, Jens Christian, Ordonez, Alba, Stien, Marita, Elvsborg, John, Haug, Ola, Thorarinsdottir, Thordis L.
Weather-related risk makes the insurance industry inevitably concerned with climate and climate change. Buildings hit by pluvial flooding is a key manifestation of this risk, giving rise to compensations of the induced physical damages and business i
Externí odkaz:
http://arxiv.org/abs/2110.15862
We introduce a class of proper scoring rules for evaluating spatial point process forecasts based on summary statistics. These scoring rules rely on Monte-Carlo approximations of expectations and can therefore easily be evaluated for any point proces
Externí odkaz:
http://arxiv.org/abs/2110.11803
Diurnal temperature range is an important variable in climate science that can provide information regarding climate variability and climate change. Changes in diurnal temperature range can have implications for hydrology, human health and ecology, a
Externí odkaz:
http://arxiv.org/abs/2109.11180
Autor:
Lutz, Julia, Roksvåg, Thea, Dyrrdal, Anita V., Lussana, Cristian, Thorarinsdottir, Thordis L.
Publikováno v:
In Journal of Hydrology May 2024 635
Seasonal weather forecasts are crucial for long-term planning in many practical situations and skillful forecasts may have substantial economic and humanitarian implications. Current seasonal forecasting models require statistical postprocessing of t
Externí odkaz:
http://arxiv.org/abs/1907.09716
Classical assessments of trends in gridded temperature data perform independent evaluations across the grid, thus, ignoring spatial correlations in the trend estimates. In particular, this affects assessments of trend significance as evaluation of th
Externí odkaz:
http://arxiv.org/abs/1901.08874
Publikováno v:
In Journal of Hydrology May 2023 620 Part A