The influence of Madden Julian Oscillation (MJO) on the dynamics of extreme rainfall events during austral Spring in Uruguay is investigated. The research is focused on the southern region of the country, which includes 15 weather stations. Extreme events are defined as days in which accumulated rainfall exceeds the 90 percentile of rainy days, and MJO is classified according to the Real‐time Multivariate

The spatial and temporal characteristics of abrupt heavy rainfall events (AHRE: defined as 3‐h rainfall amount ≥50 mm and at least one 1‐h rainfall amount ≥20 mm during the three hours) over southwest China (SWC) between 1981 and 2017, including their occurrence frequency, intensity, and duration, were investigated based on hourly rainfall data collected from 468 rain gauge stations. The occurrence

Known as “China's Water Tower,” the Qinghai–Tibet Plateau (QTP) becomes warm and humid in the short term but faces drought in the long term because of global climate change. Atmospheric water resources seem to be the only choice in the QTP region to alleviate drought conditions. Analysis of water vapour distribution and evaluation of exploitation modes of atmospheric water resources are carried out

Ensemble runs of high‐resolution (~10 km; N1280) global climate simulations (2005–2010) with the Met Office HadGEM3 model are analysed over large urban areas in the south‐east UK (London) and south‐east China (Shanghai, Hangzhou, Nanjing region). With a focus on urban areas, we compare meteorological observations to study the response of modelled surface heat fluxes and screen‐level temperatures to

Understanding the source of atmospheric aerosol is an essential step in determining the aerosol radiative effect over the Tibetan Plateau (TP). This study aims to clarify the contributions of anthropogenic and natural emission to the aerosols (carbonaceous and sulfate) characteristics inside the TP. An aerosol model named Spectral Radiation Transport Model for Aerosol Species (SPRINTARS) recently coupled

Medicanes are tropical‐like cyclones that develop in the Mediterranean Sea. Due to their harmful potential, the study of medicanes has captured great attention from the scientific community. In the context of a changing climate, their future climatological characterization can only be achieved using climate model output. A frequently used method to characterize the thermal structure of medicanes is

The boundary layer (BL) profile over the coastal plain of Israel, Eastern Mediterranean (EM), varies considerably during winter. Although, in the context of air pollution, the characteristics of the BL height (BLH) was intensively investigated, a quantitative classification of the BL profile regimes has not been performed. Here, we seek to reveal the dominant, recurring regimes of the BL profiles,

A large ensemble of hydroclimatic simulations is used to simulate the occurrence of river floods over Europe in a climate change context. A river routing model derived from a distributed hydrological model (CHyM) is forced with 44 EURO‐CORDEX, 13 CMIP5 and 7 CMIP6 simulations to assess the effects of climate change on the flood magnitude under two different scenarios. The impact of climate change is

This study assesses changes in low flow seasonality in response to climate change using Coupled Model Intercomparison Project Phase 5 (CMIP5) climate models. The precipitation‐runoff modeling system (PRMS) model was applied to project future streamflow using 13 global climate models (GCMs) under two emissions scenarios (representative concentration pathway (RCP) 4.5 and RCP8.5). Then, daily projected

Statistical downscaling (SD) methods used to refine future climate change projections produced by physical models have been applied to a variety of variables. We evaluate four empirical distributional type SD methods as applied to daily precipitation, which because of its binary nature (wet vs. dry days) and tendency for a long right tail presents a special challenge. Using data over the Continental

Extreme convective precipitation is expected to increase with global warming. However, the rate of increase and the understanding of contributing processes remain highly uncertain. We investigated characteristics of convective rain cells like area, intensity, and lifetime as simulated by a convection‐permitting climate model in the area of Germany under historical (1976‐2005) and future (end‐of‐century

This study attempts to measure the spatial correlation length (SCL) of summer extreme heat stress in any location by using a characterized scale identification method. Daily datasets of multiple meteorological variables from 2134 observation stations over eastern China during 1961‐2010 were used. Three types of heat indexes (a total of 7 indexes) were applied to characterize the heat stress. The first

In this study, for the Danube Sea Area (Danube Region – western part of the Black Sea), the structure of the sea effect snow (SES) bands, meteorological conditions in which SES bands occurred, and SES band types are analysed for the period 2009‐2018. In the 10‐year period, snowy times were determined using aviation reports published by four airports within the borders of the Marmara Region. SES events

A coherent synoptic sequence, mostly over North Africa, is identified whereby an upper‐level midlatitude trough (in November‐March) excites several days of quasi‐stationary near‐surface warming across the Sahara, leading to rainfall events over northern Congo (NC), and perturbed weather more widely. Ahead of NC rainfall events, composite sequences first identify troughs for several days near Iberia

Clothing resistance parameter rcl and potential evapotranspiration PET, a major component of Thornthwaite type climate classifications, are used as thermal climate indicators for characterising the thermal climate of the Carpathian region. rcl is simulated by a model based on clothed human body energy balance considerations. rcl refers to a walking human in outdoor conditions, whose somatotype can

Trends in seasonal mean values of maximum and minimum temperature are analyzed in the Spanish mainland from the new MOTEDAS_century database. This new data set has been developed combining the digitalized archives from the Spanish Meteorological Agency (AEMET) with information retrieved from Annual Books published by the former Meteorological Agency dating back to 1916, and covers the period 1916–2015

Investigations into the role of anthropogenic emissions in the occurrence of extreme weather often use a method that compares simulations of atmospheric climate models run under a factual scenario of historical boundary conditions observed during the period of the event against simulations run under a counterfactual scenario of what those boundary conditions might naturally have been over that same

Gridded precipitation datasets have been developed for data assimilation and evaluation tasks of weather and climate models and for climate analyses. Gridded data uncertainty evaluation is crucial to understand the limitations and feasibility. The development of high‐resolution daily gridded precipitation datasets is desirable, but several factors need to be considered, namely rain gauge station availability

Future water availability or crop yield studies, tied to statistics of river flow, precipitation, temperature or evaporation over medium to long‐term horizons, are becoming frequent in climate impact and risk analysis. During the last two decades, access to multi‐system integration of climate models has given rise to the concept of using model ensembles to issue probabilistic climatological projections

North Central China (NCC) (34°N‐42°N, 95°E‐107°E), a typical transitional climate zone between westerlies and monsoon, shows multiple time‐scale variations in precipitation under the background of global warming. Thus, NCC moisture transport (NMT) was analyzed based on reanalysis data from 1979‐2015. By using the spatially unbounded dynamic recycling model, main NMT pathways and moisture sources were