Results 201 to 210 of about 19,903 (238)

Cooling outweighs warming across phenological transitions in the Northern Hemisphere. [PDF]

Proc Natl Acad Sci U S A
Li Y, Meng L, Richardson AD, Lee X, Menzel A, Mao J, Diehl JL, Wang A.   +7 more
europepmc   +1 more source

Land surface phenometrics and their responses to climatic variables in the semi-arid rangelands of the central Zagros mountains. [PDF]

Sci Rep
Pordel F, Jafari R, Esfahani MT, Ahmadi M, Henebry GM, Ebrahimi A, Descals A, Penuelas J.   +7 more
europepmc   +1 more source

Predicting the ecological niches of <i>Aedes aegypti s.l</i>. using maximum entropy in Kenya. [PDF]

Front Trop Dis
Muchiri SK, Musau MM, Mwaniki P, Kirimi F, Agutu NO, Okiro EA, Dellicour S, Snow RW.   +7 more
europepmc   +1 more source

MODIS-based climate monitoring and snow cover modeling in the area of Deadhorse/Prudhoe Bay, Alaska

openaire   +1 more source

Using the MODIS Sensor for Snow Cover Modeling and the Assessment of Drought Effects on Snow Cover in a Mountainous Area [PDF]

Remote Sensing, 2020
Snow is one of the essential factors in hydrology, freshwater resources, irrigation, travel, pastimes, floods, avalanches, and vegetation. In this study, the snow cover of the northern and southern slopes of Alborz Mountains in Iran was investigated by considering two issues: (1) Estimating the snow cover area and the (2) effects of droughts on snow ...
Pouya Aghelpour, Yiqing Guan, Hadigheh Bahrami-Pichaghchi   +2 more
exaly   +3 more sources

MODIS Fractional Snow Cover Mapping Using Machine Learning Technology in a Mountainous Area [PDF]

Remote Sensing, 2020
To improve the poor accuracy of the MODIS (Moderate Resolution Imaging Spectroradiometer) daily fractional snow cover product over the complex terrain of the Tibetan Plateau (RMSE = 0.30), unmanned aerial vehicle and machine learning technologies are employed to map the fractional snow cover based on MODIS over this terrain.
Xiaodong Huang, Tiangang Liang
exaly   +3 more sources

Assimilation of MODIS Snow Cover Area Data in a Distributed Hydrological Model Using the Particle Filter [PDF]

Remote Sensing, 2013
Snow is an important component of the water cycle, and its estimation in hydrological models is of great significance concerning the simulation and forecasting of flood events due to snow-melt. The assimilation of Snow Cover Area (SCA) in physical distributed hydrological models is a possible source of improvement of snowmelt-related floods.
Guillaume Thirel, Peter Salamon, Peter Burek   +2 more
exaly   +4 more sources

Some of the next articles are maybe not open access.

Related searches:

Effects of climate change on vegetation and snow cover area in Gilgit Baltistan using MODIS data

Environmental Science and Pollution Research, 2022
The Hindukush-Karakoram-Himalaya (HKH) mountain ranges are the sources of Asia's most important river systems, which provide fresh water to 1.4 billion inhabitants in the region. Environmental and socioeconomic conditions are affected in many ways by climate change.
Zulqarnain, Satti, Muhammad, Naveed, Muhammad, Shafeeque, Sikandar, Ali, Farkhod, Abdullaev, Tauseef Muhammad, Ashraf, Muhammad, Irshad, Lanhai, Li   +7 more
openaire   +2 more sources

Calibration of a distributed snow model using MODIS snow covered area data

Journal of Hydrology, 2013
Summary Spatial ground-based observations of snow are often limited at the watershed-scale, therefore the snow modeling component of a hydrologic modeling system is often calibrated along with the rainfall–runoff model using watershed discharge observations. This practice works relatively well for lumped modeling applications when the accuracy of sub-
Kristie J. Franz, Logan R. Karsten
openaire   +1 more source