Results 101 to 110 of about 453,303 (276)

Abnormal Winter Melting of the Arctic Sea Ice Cap Observed by the Spaceborne Passive Microwave Sensors [PDF]

Journal of Astronomy and Space Sciences, 2016
The spatial size and variation of Arctic sea ice play an important role in Earth’s climate system. These are affected by conditions in the polar atmosphere and Arctic sea temperatures.
Seongsuk Lee, Yu Yi
doaj   +1 more source

Impact of Daily Arctic Sea Ice Variability in CAM3.0 during Fall and Winter [PDF]

, 2013
Climate projections suggest that an ice-free summer Arctic Ocean is possible within several decades and with this comes the prospect of increased ship traffic and safety concerns.
Bhatt, Uma S., Dammann, Dyre O., Krieger, Jeremy R., Langen, Peter L., Zhang, Xiangdong   +4 more
core  

Improving passive microwave sea ice concentration algorithms for coastal areas: applications to the Baltic Sea

, 2010
Sea ice concentration can be retrieved from passive microwave data using the NASA Team algorithm or the Artist Sea Ice (ASI) algorithm, for example.
Kaleschke, L., Maass, N.
core   +1 more source

The early twentieth century warming and winter Arctic sea ice [PDF]

, 2012
The Arctic featured the strongest surface warming over the globe during the recent decades, and the temperature increase was accompanied by a rapid decline in sea ice extent. However, little is known about Arctic sea ice change during the Early Twentieth
Latif, Mojib, Semenov, Vladimir
core   +1 more source

Predictability of the Arctic sea ice edge [PDF]

, 2016
Skillful sea ice forecasts from days to years ahead are becoming increasingly important for the operation and planning of human activities in the Arctic. Here we analyze the potential predictability of the Arctic sea ice edge in six climate models.
E. Hawkins, Emmerson C., H. F. Goessling, J. J. Day, Onyango J., S. Tietsche, Smith G., T. Jung   +7 more
core   +1 more source

Will Arctic sea ice thickness initialization improve seasonal forecast skill? [PDF]

, 2014
Arctic sea ice thickness is thought to be an important predictor of Arctic sea ice extent. However, coupled seasonal forecast systems do not generally use sea ice thickness observations in their initialization and are therefore missing a potentially ...
Bitz, Blanchard-Wrigglesworth, Blanchard-Wrigglesworth, Blanchard-Wrigglesworth, Chevallier, Chevallier, Collins, Day, Doblas-Reyes, Dunstone, E. Hawkins, Eicken, Guemas, Guemas, Holland, J. J. Day, Johns, Jung, Kaleschke, Koenigk, Koenigk, Latif, Laxon, Lindsay, Massonnet, Mathiot, McLaren, Persson, Pohlmann, S. Tietsche, Schröder, Serreze, Shaffrey, Sigmond, Stephenson, Stroeve, Tietsche, Tietsche, Wang, Yang   +39 more
core   +1 more source

Predicting Summer Arctic Sea Ice Concentration Intraseasonal Variability Using a Vector Autoregressive Model

, 2016
Recent Arctic sea ice changes have important societal and economic impacts and may lead to adverse effects on the Arctic ecosystem, weather, and climate. Understanding the predictability of Arctic sea ice melting is thus an important task.
Lei Wang, Xiaojun Yuan, M. Ting, Cuihua Li   +3 more
semanticscholar   +1 more source

Towards Sea Ice Remote Sensing with Space Detected GPS Signals: Demonstration of Technical Feasibility and Initial Consistency Check Using Low Resolution Sea Ice Information

Remote Sensing, 2010
This paper presents two space detected Global Positioning System (GPS)signals reflected off sea ice and compares the returned power profiles with independent estimates of ice concentration provided by the Advanced Microwave Scanning Radiometer (AMSR-E ...
Scott Gleason
doaj   +1 more source

Satellite-derived ice data sets no. 2: Arctic monthly average microwave brightness temperatures and sea ice concentrations, 1973-1976 [PDF]

A summary data set for four years (mid 70's) of Arctic sea ice conditions is available on magnetic tape. The data include monthly and yearly averaged Nimbus 5 electrically scanning microwave radiometer (ESMR) brightness temperatures, an ice concentration
Comiso, J. C., Parkinson, C. L., Zwally, H. J.   +2 more
core   +1 more source

Bayesian Sea Ice Detection With the ERS Scatterometer and Sea Ice Backscatter Model at C-Band [PDF]

, 2018
This paper describes the adaptation of a Bayesian sea ice detection algorithm for the scatterometer on-board the European Remote Sensing (ERS) satellites (ERS-1 and ERS-2).
Belmonte Rivas, M, Otosaka, I, Stoffelen, A   +2 more
core   +1 more source