Results 131 to 140 of about 4,896 (264)

NowPrecip 2: Precipitation nowcasting in the complex terrain of Switzerland. Part I: Methods

Quarterly Journal of the Royal Meteorological Society, EarlyView.
In this work we present the methods of the areal precipitation nowcasting system NowPrecip version 2. In this version a new methodology is introduced, which, although it shares philosophy and techniques with the original methodology of NowPrecip version 1, can be considered as distinct from that.
I. V. Sideris, A. Ntoumos, A. Berne, A. Hering, P. Juda, M. Boscacci, L. Clementi, U. Germann   +7 more
wiley   +1 more source

Deterministic nowcasting of geostationary satellite infrared brightness temperature using 3D U-Net diffusion model. [PDF]

Sci Rep
Afzali Gorooh V, Delle Monache L, Axisa D, Sengupta A, Zhang Z, Ralph FM.   +5 more
europepmc   +1 more source

A new method to identify and explain sources of precipitation modification, illustrated for the western Netherlands

Quarterly Journal of the Royal Meteorological Society, EarlyView.
This study develops a method to identify the source areas of precipitation events, as illustrated for the western part of the Netherlands. Radar‐based precipitation data are traced back to their source areas and machine‐learning techniques are used to identify hypothesized causes: urban heat, surface roughness, and air pollution. We find that urban and
Jelmer van der Graaff, Gert‐Jan Steeneveld   +1 more
wiley   +1 more source

Integrated photovoltaic-agriculture systems enhance soil health in desert ecosystems: evidence from microbial biomass and nutrient synergies. [PDF]

Sci Rep
Ma M, Yang F, Zheng X, Yang X, Mamtimin A, Zhou C, Li C, Huo W, Zheng X, Wang T, He P, Gong Q.   +11 more
europepmc   +1 more source

An opportunity index to anticipate when subseasonal predictions are useful

Quarterly Journal of the Royal Meteorological Society, EarlyView.
Simultaneously active subseasonal windows of forecast opportunity can be combined into a single opportunity index, which can be used operationally to anticipate enhanced or reduced subseasonal prediction skill. For predictions of temperature anomalies in Switzerland during summer—a region and season with particularly low predictability—skill can nearly
Dominik Büeler, Maria Pyrina, Adel Imamovic, Christoph Spirig, Daniela I. V. Domeisen   +4 more
wiley   +1 more source

Advancing operational global aerosol forecasting with machine learning. [PDF]

Nature
Gui K, Zhang X, Che H, Che H, Li L, Zheng Y, An L, Miao Y, Zhao H, Dubovik O, Holben B, Wang J, Gupta P, Lind ES, Toledano C, Wang H, Wang Z, Wang Y, Huang X, Dai K, Xia X, Xu X, Zhang X.   +22 more
europepmc   +1 more source

Addressing Biases in Ice Jam Observations by Integrating Multi‐Source Data in a Forested Fluvial Landscape, Southern Quebec

River Research and Applications, EarlyView.
ABSTRACT Exhaustive long‐term and large‐scale ice jam records are scarce in most cold river environments. Many discrete events occur in small, sparsely populated river systems and are poorly represented in open‐source databases. These observation biases are transferred to predictive models of ice jams and the collective understanding of their formation
Lisane Arsenault‐Boucher, Étienne Boucher, Rachid Lhissou, Karem Chokmani, Christophe Kinnard   +4 more
wiley   +1 more source

A Two-Step Machine Learning Approach Integrating GNSS-Derived PWV for Improved Precipitation Forecasting. [PDF]

Entropy (Basel)
Profetto L, Antonini A, Fibbi L, Ortolani A, Dimitri GM.   +4 more
europepmc   +1 more source

Evaluating methods for high‐resolution, national‐scale seagrass mapping in Google Earth Engine

Remote Sensing in Ecology and Conservation, EarlyView.
Marine habitat mapping using satellite imagery can provide baseline and monitoring data across large spatial scales and in remote locations globally. This study evaluates how key methodological choices influence the accuracy of open‐source (for non‐commercial use), cloud‐based satellite mapping workflows for seagrass meadows in the Maldives.
Matthew Floyd, Holly K. East, Andrew J. Suggitt   +2 more
wiley   +1 more source

ConvLSTM-based tropical cyclone intensity estimation and classification using satellite imagery over the North Indian ocean. [PDF]

PLoS One
M S M, Pateriya H, Gupta RK, Tomar DS, Gupta P, Butkovic A.   +5 more
europepmc   +1 more source