Abstract. HydroGFD3 (Hydrological Global Forcing Data) is a data set of bias-adjusted reanalysis for daily precipitation and minimum, mean, maximum temperature. It mainly intended large-scale hydrological modelling but also suitable other impact modelling. The has an almost global land area coverage, excluding the Antarctic continent small islands, at horizontal resolution 0.25?, i.e. about 25 ...

Objective To determine if environmental variables affect the average daily activity counts (AC) of dogs with osteoarthritis (OA) and/or owners' perception of their dog's clinical signs or quality of life. Methods The AC and Canine Brief Pain Inventory (CBPI) owner questionnaires of 62 dogs with OA were compared with daily environmental variables including the following: average temperature (°C)...

weather condition is one of the much effective factors in the principle of architecture and urbanization. so in this research long-term trend of effective climate elements in architecture of darab city including mean of minimum temperature, temperature mean, mean of maximum temperature, minimum relative humidity, maximum relative humidity, relative humidity mean, wind speed and sun hours in mon...

Background: It has been hypothesized that COVID-19 is less prevalent in regions with warm climates. Contradictory results led us to investigate the correlation between temperature and the cumulative COVID-19 incidence rate. Method: We obtained COVID data from CRONALAB, COVID-DASHBOARD, and MCMC databases of Fars province, linked data, and finalized daily COVID-19 cases. Daily data on the temp...

introduction the city population, in particular at the industrialized cities and centers of provinces, has increased dramatically in iran during recent decades. arak city as center of markazi province is among those industrialized cities which has experienced a fast increase in population. these changes in population numbers tend to increase consuming water resources as well as increasing in en...

This present research work was carried out to evaluate the energy consumption in a typical Iranian building based on the forecast of climatic variables. Thus, the LARS-WG model was validated for some northwest stations of Iran, including Tabriz, Ardebil, Oromieh, Kermanshah, Hamedan, Sannandaj, Qazvin, and Zanjan. The average monthly outdoor temperature was forecasted from 2011 to 2100. The rel...