Published in Journal of Horticultural Research
The study aimed to determine the magnitude of changes in air temperature in Skierniewice, Poland, over the last 100 years, with particular emphasis on multi-year variability. The source material for the analyses were air temperature measurements from 1923 to 2022 obtained from the meteorological station in the Experimental Field of the Warsaw Unive...
Published in Environmental Research: Climate
The widespread destruction incurred by midlatitude storms every year makes it an imperative to study how storms change with climate. The impact of climate change on midlatitude windstorms, however, is hard to evaluate due to the small signals in variables such as wind speed, as well as the high resolutions required to represent the dynamic processe...
ABSTRACT The South Atlantic Convergence Zone (SACZ) is an atmospheric phenomenon typical of summertime where a band of nebulosity causes intense or persistent rainfall in many regions of Brazil. SACZ episodes can be responsible for many natural disasters. Besides, the impacts of rainfall on water availability and consequently on the energy sector a...
Se estudió la sensibilidad del modelo Weather Research and Forecasting (WRF) instalado en el Servicio Meteorológico Nacional de Honduras (CENAOS por las siglas de Centro de Estudios Atmosféricos, Oceanográficos y Sísmicos) de la Secretaría de Estado en los Despachos de Gestión de Riesgos y Contingencias. WRF es usado para la generación del pronósti...
This report summarizes the development of the Afghanistan Drought Early Warning Decision Support (AF-DEWS) Tool, a cloud-based online platform with near real-time information on drought conditions, to provide decision-makers with maps and data to enable further analysis. The report provides an overview of how the AF-DEWS Tool was developed and how ...
Through "Local Technical Agroclimatic Committees" (LTACs) and multiple media, timely Agro-Climatic Bulletins are being disseminated to over 130,000 farmers (520,000 beneficiaries) in 351 communities in Vietnam’s Mekong Delta and South-Central Coast. Based on a sample survey of 202 farmers in one province, the use of this information has enabled far...
V okviru magistrske naloge razvijemo model za napovedovanje vremena ConvCastNet, ki temelji na konvolucijskih nevronskih mrežah. Podatke za učenje nevronske mreže pridobimo iz ERA5 reanalize in jih interpoliramo na ekviangularno mrežo z ločljivostjo 3°, pri čemer uporabimo 10 spremenljivk, ki opisujejo stanje ozračja, površine morja in kopnega ter ...
EMOS je priljubljen model strojnega učenja, ki se v meteorologiji uporablja za poprocesiranje vremenskih napovedi ansamblov. V diplomski nalogi model učimo na napovedih temperature zraka 11-članskega ansambla in raziščemo, kako spremembe v učnih podatkih vplivajo na učenje modela EMOS. Učne podatke spreminjamo z uvedbo pristopov drsečega in fiksneg...
