 We tested the weather extrapolator MTCLIM for three sites in an arid region.  We provided a detailed validation of MTCLIM with statistical and graphical analysis.  MTCLIM acceptably extrapolates temperatures even from short weather data series.  MTCLIM performance for precipitation is acceptable only for monthly values.  MTCLIM creates acceptable weather records if high daily accuracy is ...

In this study, an artificial neural network based model for prediction of solar energy potential in Kerman province in Iran has been developed. Meteorological data of 12 cities for period of 17 years (1997–2013) and solar radiation for five cities around and inside Kerman province from the Iranian Meteorological Office data center were used for the training and testing the network. Meteorologic...

Background QUALIFY was a 28-week, randomized, open-label, head-to-head trial that assessed improvements across multiple measures in stable patients with schizophrenia with aripiprazole once-monthly 400 mg vs paliperidone palmitate. Methods Secondary effectiveness assessments included physician-rated readiness for work using the Work Readiness Questionnaire, the Clinical Global Impression-Seve...

Future climate forcing data at the temporal and spatial scales needed to drive hydrologic models are not readily available. Simple methods to derive these data from historical data or General Circulation Model (GCM) results may not adequately capture future hydrological variability. This study assessed streamflow response to daily future climate forcing data produced by a new method using subse...

The solar radiation model SRAD was applied to a Mediterranean mountainous environment in southern California for estimating land surface temperature (LST). The simulated SRAD LST results were compared with highand meso-resolution satellite-based LST data at daily, monthly and annual temporal scales to identify potential ways of improving the LST accuracy in either the SRAD or satellite-based ap...

daily weather information is currently available for about 40000 stations across the world. but, distribution of these stations is relatively uneven in some parts of the world. moreover, there are often large amounts of missing values (schuol and abbaspour, 2007:301). using generated data can help to fill missing or even to correct erroneously measured data (fodor et al., 2010: 91). lars-wg is ...

introduction daily weather information is currently available for about 40000 stations across the world. but, distribution of these stations is relatively uneven in some parts of the world. moreover, there are often large amounts of missing values (schuol andabbaspour, 2007: 301). using generated data can help fill missing or even to correct erroneously measured data (fodor et al., 2010: 91). l...

This is a sequel to a study of the empirical estimation of the annual mean temperature and its range, at any location on land, based on the historical surface climate record. Here the spatial patterns of the daily temperature range (DTR) and its seasonal variation are examined. The DTR is highest in the subtropical deserts and is less at high latitudes, as well as within 30–150 km from an ocean...

The ground validation of satellite-based precipitation products (SPPs) is very important for their hydroclimatic application. This study evaluated the performance assessment four soil moisture-based SPPs (SM2Rain, SM2Rain- ASCAT, SM2Rain-CCI, and GPM-SM2Rain). All data were compared with 64 weather stations in Pakistan from January 2005 to December 2020. estimations on daily, monthly, seasonal,...