A post-season report will provide an in - depth analysis of factors driving sea ice extent this summer as well as explore the scientific methods for
predicting seasonal ice extent.
A post-season report provides an in - depth analysis of factors driving sea ice extent this summer as well as explore the scientific methods for
predicting seasonal ice extent.
Not exact matches
NASA GMAO (Cullather et al.), 5.03 (+ / - 0.41), Modeling The GMAO
seasonal forecasting system
predicts a September average Arctic
ice extent of 5.03 ± 0.41 million km2, about 4.7 percent less than the 2014 value.
Climate models are like weather models for the atmosphere and land, except they have to additionally
predict the ocean currents, sea -
ice changes, include
seasonal vegetation effects, possibly even
predict vegetation changes, include aerosols and possibly atmospheric chemistry, so they are not like weather models after all, except for the atmospheric dynamics, land surface, and cloud / precipitation component.
This study assesses the ability of the Canadian
Seasonal to Interannual Prediction System (CanSIPS) and the Canadian Earth - system Model 2 (CanESM2) to predict and simulate snow and sea ice from seasonal to multi-decadal timescales, with a focus on the Canadian
Seasonal to Interannual Prediction System (CanSIPS) and the Canadian Earth - system Model 2 (CanESM2) to
predict and simulate snow and sea
ice from
seasonal to multi-decadal timescales, with a focus on the Canadian
seasonal to multi-decadal timescales, with a focus on the Canadian sector.
A post-season report will provide an in - depth analysis of factors driving sea
ice this summer as well as explore the scientific methods for
predicting seasonal conditions.
A smaller multiyear
ice area in the Arctic Ocean means that the sea
ice summer extent is more sensitive to weather conditions during summer and thus more difficult to
predict using statistical regression analysis since
seasonal weather forecasts are not reliable.
NASA Global Modeling and Assimilation Office (Cullather et al.), 5.23 (± 3.0), Modeling (full - coupled)(Same as June) The GMAO
seasonal forecasting system
predicts a September average Arctic
ice extent of 5.23 ± 0.30 km2, about 13 percent greater than the 2015 value.
RE: 4th Error -RCB- Poses an objection to the non-scientific term catastrophic [NOTE: Scientific «consensus» is often being used & / or implied in standard climate - change discourse - Yet Consensus is a Political Term - NOT a Scientific Term]- HOWEVER - When Jim Hansen, the IPCC & Al Gore, et - al - go from
predicting 450 — 500 ppm CO2 to 800 — 1000ppm by the end of the 21st century -LCB- said to the be highest atmospheric CO2 content in 20 — 30 Million YRS -RCB-; — & estimates for aver global temps by 21st century's end go from 2 * C to 6 * C to 10 * C; — & increased sea level estimates go from 10 - 20 cm to 50 - 60 cm to 1M — 2M -LCB- which would totally submerge the Maldives & partially so Bangladesh -RCB-; — predictions of the total melting of the Himalayan
Ice caps by 2050, near total melting of Greenland's ice sheet & partial melting of Antarctica's ice sheet before the 21st century's end; — massive crop failures; — more intense & frequent hurricane -LCB- ala Katrina -RCB- for much longer seasonal durations, etc, etc, etc... — IMO That's Sounds pretty damned CATASTROPHIC to
Ice caps by 2050, near total melting of Greenland's
ice sheet & partial melting of Antarctica's ice sheet before the 21st century's end; — massive crop failures; — more intense & frequent hurricane -LCB- ala Katrina -RCB- for much longer seasonal durations, etc, etc, etc... — IMO That's Sounds pretty damned CATASTROPHIC to
ice sheet & partial melting of Antarctica's
ice sheet before the 21st century's end; — massive crop failures; — more intense & frequent hurricane -LCB- ala Katrina -RCB- for much longer seasonal durations, etc, etc, etc... — IMO That's Sounds pretty damned CATASTROPHIC to
ice sheet before the 21st century's end; — massive crop failures; — more intense & frequent hurricane -LCB- ala Katrina -RCB- for much longer
seasonal durations, etc, etc, etc... — IMO That's Sounds pretty damned CATASTROPHIC to ME!
Most studies on
ice predictability have used a perfect - model approach, in which a climate model is used to
predict conditions simulated by that model, and have focused on
seasonal to interannual predictability (e.g., Holland et al., 2011; Blanchard - Wrigglesworth et al., 2011; Chevallier and Salas - Melia, 2012).