Results 141 to 150 of about 4,321,601 (325)

PREDIKSI HUJAN BULANAN MENGGUNAKAN ADAPTIVE STATISTICAL DOWNSCALING

Jurnal Meteorologi dan Geofisika, 2013
Permasalahan pada prediksi hujan bulanan menggunakan Global Circulation Model (GCM) adalah resolusi yang rendah  sehingga tidak dapat memberikan informasi yang rinci sampai tingkat regional. Permasalahan lain adalah akurasi prediksi yang rendah yang disebabkan pola curah hujan yang non linier dan non stasioner.
Agus Safril, Tri Wahyu Hadi, Safwan Hadi, Bayong Tjasyono H. Kasih   +3 more
openaire   +2 more sources

Implementing potential climate‐smart practices through diverse partnerships

PLANTS, PEOPLE, PLANET, EarlyView.
Climate change is one of the greatest threats to society, negatively impacting agriculture and crop yields. Globally, agriculture is also one of the largest greenhouse gas (GHG) emitting sectors. Climate‐smart practices that are developed through diverse partnerships with scientists and practitioners are needed to decrease GHG emissions. We implemented
Kristina J. Bartowitz, Justin M. Mathias, Eric S. Walsh, Laurel M. Lynch, Chloe Arthaud, Stefanie Krantz, Tara W. Hudiburg   +6 more
wiley   +1 more source

Spatial‐statistical downscaling with uncertainty quantification in biodiversity modelling

Methods in Ecology and Evolution
Accurate downscaling with uncertainty quantification and its inclusion in fitting biodiversity models to data are essential for accurate, valid inferences and predictions.
Xiaotian Zheng, Noel Cressie, David A. Clarke, Melodie A. McGeoch, Andrew Zammit‐Mangion   +4 more
doaj   +1 more source

Thin Fluoride Insulators for Improved 2D Transistors: From Deposition Methods to Recent Applications

physica status solidi (RRL) – Rapid Research Letters, EarlyView.
2D materials hold significant promise for next‐generation electronic and optoelectronic devices, but suitable gate dielectrics are still a challenge. Fluoride insulators, offering inert, dangling‐bond‐free surfaces, have recently emerged as strong candidates. This review covers recent publications on high‐quality fluoride thin‐film deposition and their
Behzad Dadashnia, Saeed Rasouli, Walter M. Weber, Daniele Nazzari   +3 more
wiley   +1 more source

Possible climate change impacts on water resources availability in a large semi-arid catchment in Northeast Brazil. [PDF]

, 2005
The semiarid region of Northeast Brazil is characterized by water scarcity, vulnerability of natural resources, and pronounced climatic variability. An integrated model has been developed to simulate this complex situation with an emphasis on a large ...
Araújo, José Carlos de, Bronstert, Axel, Güntner, Andreas, Jaeger, Annekathrin, Krol, Maarten   +4 more
core   +1 more source

When tiny convective spread affects a midlatitude jet: Spread sequence

Quarterly Journal of the Royal Meteorological Society, EarlyView.
We investigate spread evolution by mesoscale convection from tiny initial condition uncertainty during a real event. There is significant variation among the systems in their propensity to interact with the jet stream, whereby variability in one system (due to convective and long‐wave radiative heating tendencies) tightly relates to Rossby‐like ...
Edward Groot, Michael Riemer
wiley   +1 more source

Fuzzy postprocessing of seasonal climate forecasts for semiarid river basins

Quarterly Journal of the Royal Meteorological Society, EarlyView.
Meteorological forecasts from AI‐based fuzzy rule‐based system (FRB) are compared to linear scaling (LS) and quantile mapping (QM). Seasonal forecasts from the Copernicus Climate Change Service (C3S) are considered. Results show that the highest skill is achieved for the FRB approach.
Dariana Isamel Avila‐Velasquez, Hector Macian‐Sorribes, Manuel Pulido‐Velazquez   +2 more
wiley   +1 more source

An objective Bayesian method for including parameter uncertainty in ensemble model output statistics

Quarterly Journal of the Royal Meteorological Society, EarlyView.
Conventional model output statistics and ensemble model output statistics methods for calibrating ensemble forecasts lead to severe underestimation of the probabilities of ensemble extremes (in blue). This is because they ignore statistical parameter uncertainty.
Stephen Jewson, Leonardo Olivetti, Gabriele Messori, Paul J. Northrop, Trevor Sweeting   +4 more
wiley   +1 more source

Diffusion model-based probabilistic downscaling for 180-year East Asian climate reconstruction

npj Climate and Atmospheric Science
As our planet is entering into the “global boiling” era, understanding regional climate change becomes imperative. Effective downscaling methods that provide localized insights are crucial for this target.
Fenghua Ling, Zeyu Lu, Jing-Jia Luo, Lei Bai, Swadhin K. Behera, Dachao Jin, Baoxiang Pan, Huidong Jiang, Toshio Yamagata   +8 more
doaj   +1 more source

Quantifying driving ensemble influence on operational convection‐permitting ensemble spread

Quarterly Journal of the Royal Meteorological Society, EarlyView.
By comparing statistics of precipitation patterns between a convection‐permitting ensemble and the global ensemble used to drive it, we investigate the conditions under which the convection‐permitting ensemble diverges from the evolution of the driving ensemble.
Adam Gainford, Suzanne L. Gray, Thomas H. A. Frame, Aurore N. Porson, Marco Milan   +4 more
wiley   +1 more source