نتایج جستجو برای: representative concentration pathways rcps

تعداد نتایج: 696565  

Journal: :Hydrology and Earth System Sciences 2021

Abstract. Being an extensively produced natural fiber on earth, cotton is of importance for economies. Although the plant broadly adapted to varying environments, growth and irrigation water demand may be challenged by future climate change. To study impacts change productivity in different regions across world requirements related it, we use process-based, spatially detailed biosphere hydrolog...

Journal: :Theoretical and Applied Climatology 2022

A simulation study was conducted for two maize cultivars (PMH1 and PMH2) under Representative Concentration Pathways (RCPs) in four agroclimatic zones of Punjab state India where climate change depicts a consistent rise temperature variability rainfall. The rainfall varied from location to so zone II (Ballowal Saunkhri), III (Ludhiana, Amritsar, Patiala), IV (Bathinda), V (Abohar Faridkot) were...

Journal: :Data 2023

Global warming challenges communities worldwide to develop new adaptation strategies that are required be based on reliable data. As a vital component of life, river runoff comes into particular focus as determining and limiting factor water-related hazard assessment. Here, we present dataset makes it possible estimate the influence projected climate change its characteristics. We utilize HBV (...

Journal: :Climate 2021

In Canada, climate change is expected to increase the extreme precipitation events by magnitude and frequency, leading more intense frequent river flooding. this study, we attempt map flood hazard damage under projected scenarios (2050 2080). The study was performed in two most populated municipalities of Petite Nation River Watershed, located southern Quebec (Canada). methodology follows a mod...

Journal: :Sustainability 2022

Globally, non-cereal crops such as vegetable oils and their associated products will surpass cereals in demand by 2050, according to the World Bank (WB). Despite being considered an energy-efficient food crop, production supply capability of rapeseed is mostly influenced climate conditions. Aiming this context, study explored how temperature rainfall patterns influence production, well prices m...

Journal: :Journal of Agronomy and Crop Science 2022

Irregular rainfall, rising temperatures and changing frequency intensity of extreme weather events are projected to reduce crop yields threaten food security across the tropical monsoon sub-region. However, anticipated extent impact on water productivity (CWP) is not yet thoroughly understood. The impacts climate change rice CWP assessed over Northern Tonle Sap Basin in Cambodia by applying Aqu...

Journal: :Meteorological Applications 2023

Extreme events like flooding, droughts and heatwave are among the factors causing huge socio-economic losses to Cameroonians. Investigating potential response of rainfall temperature extremes global warming is therefore critically needed for tailoring adjusting country's policies. Recent datasets have been developed this purpose within Coordinated Output Regional Evaluations (CORDEX-CORE) initi...

Journal: :Remote Sensing 2021

The global water cycle is becoming more intense in a warming climate, leading to extreme rainstorms and floods. In addition, the delicate balance of precipitation, evapotranspiration, runoff affects variations soil moisture, which vital importance agriculture. A systematic examination climate change impacts on these variables may help provide scientific foundations for design relevant adaptatio...

Journal: :Diversity 2022

Climate change is expected to influence the geographic distribution of many taxa, including insects. Chrysomya albiceps one most pervasive calliphorid fly with apparent ecological, forensic, and medical importance. However, global habitat suitability varied due climate change. Models that forecast species spatial are increasingly being used in wildlife management, highlighting need for trustwor...

Journal: :Meteorological Applications 2023

Abstract Projecting precipitation changes is essential for researchers to understand climate change impacts on hydrological cycle. This study projected future over the Hanjiang River Basin (HRB) based multimodel ensemble (ME) of six global models from Phase 6 Coupled Model Intercomparison Project (CMIP6). An ME method using fusion four machine learning (ML) algorithms (random forest [RF], K‐nea...

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