Results 91 to 100 of about 14,346 (297)

Modeled Subsidence of Permafrost Terrain 2025–2050: North‐Central Alaska

Permafrost and Periglacial Processes, EarlyView.
ABSTRACT A large fraction of the Alaska terrain is underlain by regolith that contains excess ice (ice that in volume exceeds the natural pore space). Possible loss of excess ice would lead to ground subsidence, which in turn would disturb and destabilize the ground surface.
Jaakko Putkonen, Hayden Patterson, Robert Chance, Mary Soaper, Anai Caparó Bellido, Aymane Ahajjam, Andrew Wilcox, Sheridan Parker, Timothy Pasch   +8 more
wiley   +1 more source

Selecting CMIP6 Models for Future Arctic Storylines Using a Novel Performance Score

Tellus: Series A, Dynamic Meteorology and Oceanography
Storylines are physically plausible scenarios of future climate change, statistically derived from an ensemble of climate model projections and organized according to the magnitude of projected changes in two or more remote drivers that strongly ...
Lise Seland Graff, Oskar A. Landgren, Kajsa M. Parding, Xavier Levine, Ryan S. Williams, Priscilla A. Mooney   +5 more
doaj   +1 more source

CMIP6-tas

CMIP6 ...
Yunlei Zhang (17902865)
core   +1 more source

CMIP6-SpeedTest

, 2021
Use this web tool to test users' download speed from all available cmip6 data nodes, and with updating analysis report and ...
Liu, Yufu
core   +1 more source

Evaluating Testability of Permafrost Models Through Physical and Thermal Testing in Complex Mountain Terrain, Yukon, Canada

Permafrost and Periglacial Processes, EarlyView.
ABSTRACT Due to its subsurface nature, permafrost cannot be directly observed with the naked eye or optical remote sensing. Consequently, accurately describing its distribution and thermal state is challenging. This is especially true in vast, remote environments, where obtaining comprehensive field data is demanding or improbable.
Ria Nicholson, Philip P. Bonnaventure, Nick C. Noad, Madeleine C. Garibaldi, Rabecca Thiessen, Will Kochtitzky   +5 more
wiley   +1 more source

CMIP6 Data Citation of Evolving Data

Data Science Journal, 2017
Data citations have become widely accepted. Technical infrastructures as well as principles and recommendations for data citation are in place but best practices or guidelines for their implementation are not yet available. On the other hand, the scientific climate community requests early citations on evolving data for credit, e.g.
Martina Stockhause, Michael Lautenschlager   +1 more
openaire   +4 more sources

Which Climate Model Evaluation Methods Can Consistently Select Skillful Models from the CMIP6 Ensemble?

Geography, Environment, Sustainability
When considering the possible use of climate model data, it is necessary to choose which model is most appropriate to use. There are many methods for evaluating and selecting climate models in the literature, but there is no established consensus on ...
Natalia V. Gnatiuk, I. V. Radchenko, Richard Davy, Jiechen Zhao, Leonid P. Bobylev   +4 more
doaj   +1 more source

cmip6-leap-feedstock

<p>Beta Testing release</p> <h2>What's Changed</h2> <ul> <li>Use python to zombiekill by @yuvipanda in https://github.com/leap-stc/cmip6-leap-feedstock/pull/59</li> <li>Refactory dynamic chunking to plugin ...
Busecke, Julius J. M., Stern, Charles I.
core   +1 more source

AWI-CM-1.1-MR model output prepared for CMIP6 CMIP: links to 1pctCO2, abrupt-4xCO2, historical, and piControl simulations

, 2018
Coupled Model Intercomparison Project Phase 6 (CMIP6) data sets: DECK (1pctCO2, abrupt-4xCO2, piControl simulations) and CMIP historical simulations.
Danilov, Sergey, Barbi, Dirk, Sidorenko, Dmitry, Rackow, Thomas, Hegewald, Jan, Sein, Dmitry, Semmler, Tido, Wang, Qiang, Jung, Thomas   +8 more
core   +1 more source

CMIP6 data for JGR

, 2023
CMIP6 data used in ...
Yuzhi Ji (15201187)
core   +1 more source