The regional climate models proved to be appropriate tools in assessing drought over the study area as they can serve as good proxies over data sparse regions, especially in developing countries, for studying detailed climate features at sub regional and local scales.
Due to many low-lying areas, the geog experiences a sub-tropical climate featured by cool winters with warm and humid summers.
Previous studies have only evaluated the effects of respective forcing on continental-scale, NH-mean, or global-mean climate features (e.g., Phipps et al. 2013; Schurer et al. 2013, 2014; Otto-Bliesner et al. 2016).
The Tibetan plateau is under the influence of high altitude, latitude, mountains and glaciers, which results in unique regional climate features such as strong solar radiation, long sunshine time, low temperature and large intraday temperature spread.
The predicted current distributions (Fig. 2A) are very close to the known distributions of the two gnatcatchers, suggesting that the model captures the main climate features that determine gnatcatcher distributions.
The climate features mild to cold winters, with average January temperatures ranges from -4 °C in southwest (Brest) to -8 °C in northeast (Vitebsk), and cool and moist summers with an average temperature of 18 °C.
Dayton's climate features hot, muggy summers and cold, dry winters, and is either classified as a humid subtropical climate (Köppen Cfa), using the -3 °C isotherm of the original Köppen scheme, or a humid continental climate (Köppen Dfa), using the 0 °C isotherm preferred by some climatologists.
It will be used for power-saving experiments in simulated climates featuring high winds, snow and Manchester's notorious rain.
It proceeds from an evaluation of climatic geomorphology, through primers on climate, climate change, and paleoclimatology, to selected evidence for climate change featuring marine archives, ice cores, lake records, and aeolian deposits.
