Air temperature (Tair) near the ground surface is a fundamental descriptor of terrestrial environment conditions and one of the most widely used climatic variables in global change studies. The main objective of this study was to explore the possibility of retrieving high-resolution Tair from the Moderate Resolution Imaging Spectroradiometer (MODIS) land surface temperature (LST) products, cove...

An analysis of the annual mean temperature (TMEAN) (1961-2010) has revealed that warming amplification (altitudinal amplification and regional amplification) is a common feature of major high-elevation regions across the globe against the background of global warming since the mid-20th century. In this study, the authors further examine whether this holds for annual mean minimum temperature (TM...

ABSTRACT Air temperature significantly affects the processes involving agricultural and human activities. The knowledge of a given location is essential for planning. It also helps to make decisions regarding However, it not always possible determine this variable. necessary precise estimate, using methods that are capable detecting existing variations. aim study was develop models multiple lin...

As an intrinsic feature of daily surface air temperature (SAT) variability found in station measurements, temporal asymmetry (TA) can be taken as evaluation metric to access the quality SAT re-analysis product. In this study, TA calculated from four variables, i.e., mean (Tmean), maximum (Tmax), minimum (Tmin) and diurnal range (TDTR = Tmax − Tmin), is applied evaluate synoptic-scale performanc...

Crop water productivity modeling is an increasingly popular rapid decision making tool to optimize resource management in agriculture for the makers. This work aimed model, predict, and simulate crop (CWP) grain yields of both wheat maize. Climate datasets were collected over period from 1969 2019, including: mean temperature (Tmean), maximum (Tmax), minimum (Tmin), relative humidity (H), solar...

The transition from conventional weather stations (CWSs) to automated (AWSs) of the Colombian coffee network has required testing their performance and adjusting temperature measurements ensure continuity historical CWS series. In this study, mean (Tmean), minimum (Tmin), maximum (Tmax) AWS operating in parallel at 36 locations between 2014 2019 were compared, biases daily differences (CWS − AW...

Estimating actual vapor pressure (ea) without relative humidity (RH) data continues to draw research attention. One of the accurate ways estimate ea is through estimation dew point temperature (Tdew) from minimum (Tmin) or mean (Tmean). Two existing methods have been largely used ea. The first method (method I) assumes that Tdew close Tmin. other one II) adjusts Tmin with piecewise correction f...

Reference crop evapotranspiration (ETo) is an important component of the hydrological cycle that used for water resource planning, irrigation, and agricultural management, as well in other processes. The aim this study was to estimate ETo based on limited meteorological data using artificial neural network (ANN) method. daily minimum temperature (Tmin), maximum (Tmax), mean (Tmean), solar radia...

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...

Climate change and its impact on agriculture are challenging issues regarding food production security. Many researchers have been trying to show the direct indirect impacts of climate using different methods. In this study, we used linear regression models assess crop yield spatially temporally by managing irrigated non-irrigated fields. The data in study Tmax (maximum temperature), Tmean (mea...