The effect of vegetation on temperature is an emerging topic in the climate science community. Existing studies have mostly examined the effects of vegetation on daytime temperature (Tmax), whereas this study investigates the effects on nighttime temperature (Tmin). Ground measurements from 53 sites across northeastern China (NEC) from 1982 to 2006 show that early summer (June) Tmax and Tmin in...

Near-surface meteorological forcing (NSMF) datasets, mixed observations, and model forecasts are widely used in global climate change sustainable development studies. For practical purposes, it is important to evaluate NSMF especially those released latest, determine their strengths limitations. In this study, we the performance of Multi-Source Weather (MSWX) China over period 1979–2016. compar...

Evaporation is a fundamental parameter in the hydrological cycle. This study examines the performance of M5model tree and artificial neural network (ANN) models in estimating potential evapotranspiration calculated byPenman- Monteith and Hargreaves- Samani equations. Daily weather data from two meteorological stations in asemi-arid climate of Iran, namely Kerman and Zahedan, were collected duri...

introduction air pollution is one of the critical challenges in metropolitans around the world. according to world health organization (who), three millions people die from air pollution annually. in some studies mortality costs by air pollution was estimated. social cost of air pollution was estimated 28990 billions rials in tehran city. the mortality cost by air pollution was estimated about ...

Reference evapotranspiration (ET0) is of great significance in studies hydrological cycle, agricultural water resources, and hydrometeorology. The present study collected daily meteorological data at 536 stations China from 1984 to 2019, calculated ET0 using the FAO Penman–Monteith equation, analyzed spatial distribution temporal variation characteristics variables four different scales (contin...

A statistical model based on canonical correlation analysis (CCA) was used to explore climatic associations and predictability of June–August (JJA) maximum and minimum surface air temperatures (Tmax and Tmin) as well as the frequency of Tmax daily extremes (Tmax90) in the central and western United States (west of 90°W). Explanatory variables are monthly and seasonal Pacific Ocean SST (PSST) an...

[1] Pronounced changes in land use and surface properties like those that have occurred in the Sahel could lead to reduced land surface emissivity and thus might have an asymmetric impact on daytime and nighttime surface air temperature. This paper analyzes the sensitivity of simulated climate and energy balance to changes in soil emissivity over the Sahel using the recently developed Community...

Abstract The understanding of centennial trends extreme temperature has been impeded due to the lack early-year observations. In this paper, we collect and digitize daily data set Northeast China Yingkou meteorological station since 1904. After quality control homogenization, analyze changes mean in past 114 years. results show that (Tmean), maximum (Tmax), minimum (Tmin) all have increasing du...