Walter N Meier
Dados Biográficos
| ID | 7995311 |
|---|---|
| NOME | Walter N Meier |
| PRENOMES | Walter N |
| SOBRENOME | Meier |
| ASSINATURA | MEIER W N |
| AFILIAÇÕES | University of Colorado Boulder |
| ORCID | 0000-0003-2857-0550 |
| VERIFICADO | Sim |
| TOTAL DE OBRAS | 6 |
| TOTAL DE CITAÇÕES | 3 |
| TOTAL COMO AUTOR | 6 |
| TOTAL COMO EDITOR | 0 |
| PRIMEIRO ANO DE PUBLICAÇÃO | 2007 |
| ANO MAIS RECENTE DE PUBLICAÇÃO | 2019 |
| ÍNDICE H | 1 |
Regional variability of Arctic sea ice seasonal change climate indicators from a passive microwave climate data record
The seasonal evolution of Arctic sea ice can be described by the timing of key dates of sea ice concentration (SIC) change during its annual retreat and advance cycle. Here, we use SICs from a satellite passive microwave climate data record to identify the sea ice dates of opening (DOO), retreat (DOR), advance (DOA), and closing (DOC) and the periods of time between these events. Regional variability in these key dates, periods, and sea ice melt …
Key indicators of Arctic climate change
Key observational indicators of climate change in the Arctic, most spanning a 47 year period demonstrate fundamental changes among nine key elements of the Arctic system. We find that, coherent with increasing air temperature, there is an intensification of the hydrological cycle, evident from increases in humidity, precipitation, river discharge, glacier equilibrium line altitude and land ice wastage. Downward trends continue in sea ice thicknes…
Essential gaps and uncertainties in the understanding of the roles and functions of Arctic sea ice
While Arctic sea ice is changing, new observation methods are developed and process understanding improves, whereas gaps in observations and understanding evolve. Some previous gaps are filled, while others remain, or come up new. Knowing about the status of observation and knowledge gaps is important for interpreting observation and research results, interpretation and use of key climate indicators, and for research and observation planning. Thi…
Assessing uncertainties in sea ice extent climate indicators
The uncertainties in sea ice extent (total area covered by sea ice with concentration >15%) derived from passive microwave sensors are assessed in two ways. Absolute uncertainty (accuracy) is evaluated based on the comparison of the extent between several products. There are clear biases between the extent from the different products that are of the order of 500 000 to 110 6 km 2 depending on the season and hemisphere. These biases are due to dif…
The Changing Arctic Cryosphere and Likely Consequences
Arctic sea ice decline
From 1953 to 2006, Arctic sea ice extent at the end of the melt season in September has declined sharply. All models participating in the Intergovernmental Panel on Climate Change Fourth Assessment Report (IPCC AR4) show declining Arctic ice cover over this period. However, depending on the time window for analysis, none or very few individual model simulations show trends comparable to observations. If the multi‐model ensemble mean time series p…
Arctic sea ice decline
From 1953 to 2006, Arctic sea ice extent at the end of the melt season in September has declined sharply. All models participating in the Intergovernmental Panel on Climate Change Fourth Assessment Report (IPCC AR4) show declining Arctic ice cover over this period. However, depending on the time window for analysis, none or very few individual model simulations show trends comparable to observations. If the multi‐model ensemble mean time series p…
The Changing Arctic Cryosphere and Likely Consequences
Assessing uncertainties in sea ice extent climate indicators
The uncertainties in sea ice extent (total area covered by sea ice with concentration >15%) derived from passive microwave sensors are assessed in two ways. Absolute uncertainty (accuracy) is evaluated based on the comparison of the extent between several products. There are clear biases between the extent from the different products that are of the order of 500 000 to 110 6 km 2 depending on the season and hemisphere. These biases are due to dif…
Regional variability of Arctic sea ice seasonal change climate indicators from a passive microwave climate data record
The seasonal evolution of Arctic sea ice can be described by the timing of key dates of sea ice concentration (SIC) change during its annual retreat and advance cycle. Here, we use SICs from a satellite passive microwave climate data record to identify the sea ice dates of opening (DOO), retreat (DOR), advance (DOA), and closing (DOC) and the periods of time between these events. Regional variability in these key dates, periods, and sea ice melt …
Key indicators of Arctic climate change
Key observational indicators of climate change in the Arctic, most spanning a 47 year period demonstrate fundamental changes among nine key elements of the Arctic system. We find that, coherent with increasing air temperature, there is an intensification of the hydrological cycle, evident from increases in humidity, precipitation, river discharge, glacier equilibrium line altitude and land ice wastage. Downward trends continue in sea ice thicknes…
Essential gaps and uncertainties in the understanding of the roles and functions of Arctic sea ice
While Arctic sea ice is changing, new observation methods are developed and process understanding improves, whereas gaps in observations and understanding evolve. Some previous gaps are filled, while others remain, or come up new. Knowing about the status of observation and knowledge gaps is important for interpreting observation and research results, interpretation and use of key climate indicators, and for research and observation planning. Thi…
Arctic (6 obras) · Arctic and Antarctic ice dynamics (6 obras) · Climate change and permafrost (6 obras) · Climatology (6 obras) · Environmental Science (6 obras) · Arctic ice pack (5 obras) · Climate change (5 obras) · Geology (5 obras) · Oceanography (5 obras) · Sea ice (5 obras)