The spatial and temporal variability of the surface mass balance in Antarctica: Results from a regional atmospheric climate model

International Journal of Climatology

Volumn 22, Issue 10, 2002, Pages 1197-1217

  Van Lipzig, Nicole P M ^a,c   Van Meijgaard, Erik ^a   Oerlemans, Johannes ^b  

^a ROYAL NETHERLANDS METEOROLOGICAL INSTITUTE KNMI   (Netherlands)

^b UTRECHT UNIVERSITY   (Netherlands)

^c BRITISH ANTARCTIC SURVEY   (United Kingdom)

Author keywords

Antarctica; Climate variability; Ice core analysis; Model evaluation; Precipitation; Regional atmospheric model; Surface mass balance

Indexed keywords

ATMOSPHERIC HUMIDITY; ATMOSPHERIC TEMPERATURE; CLIMATE CHANGE; ICE; PRECIPITATION (METEOROLOGY); WEATHER FORECASTING;

TOPOGRAPHY;

CLIMATOLOGY;

AIR TEMPERATURE; ATMOSPHERIC MODELING; GLACIER MASS BALANCE; PRECIPITATION ASSESSMENT; SPATIOTEMPORAL ANALYSIS; SURFACE PRESSURE;

ANTARCTICA;

EID: 0036689460     PISSN: 08998418     EISSN: None     Source Type: Journal    
DOI: 10.1002/joc.798     Document Type: Article

References (43)

1. Meteorological conditions over Antarctic blue-ice areas and their influence on the local surface mass balance
2. Snowfall in high southern latitudes
3. ECMWF analyses and re-analyses depiction of ENSO signal in Antarctic precipitation
4. The HIRHAM4 regional atmospheric climate model
5. Changes in sea level
6. A comparison of five numerical weather prediction analysis climatologies in southern high latitudes
7. A modeling and observational study of the East Antarctic surface mass balance
8. Stable isotopes in precipitation
9. A lateral boundary formulation for multi-level prediction models
10. Parameterization of the annual surface temperature and mass balance of Antarctica
11. ECMWF analyses and predictions of the surface climate of Greenland and Antarctica
12. Convergence and disposal of energy and moisture on the Antarctic polar cap from ECMWF reanalyses and forecasts
13. Intra-annual variability of Antarctic precipitation from weather forecasts and high-resolution climate models
14. Atmospheric net transport of water vapor and latent heat across 70°S
15. HIRLAM 2 final report
16. Oxygen isotope profiles through the Antarctic and Greenland ice sheets
17. Validity of the temperature reconstruction from water isotopes in ice cores
18. GCM analysis of local influences on ice core signals
19. An examination of the precipitation regime at Thurston Island. Antarctica, from ECMWF re-analysis data
20. Evidence from Antarctic ice cores for recent increases in snow accumulation
21. Implications for the interpretation of ice-core isotope data from analysis of modelled Antarctic precipitation
22. Atmospheric signals and characteristics of accumulation in Dronning Maud Land, Antarctica
23. Climate changes in the Atlantic sector of Antarctica over the past 500 years from ice-core and other evidence
24. The atmospheric branch of the hydrological cycle and climate
25. Boundary processes of drifting snow
26. The atmospheric general circulation model ECHAM-4: Model description and simulation of present-day climate
27. 18 O values in Antarctic snow
28. Weather and climate of the antarctic
29. Antarctic climate anomalies surrounding the minimum in the southern oscillation index
30. Seasonal precipitation timing and ice core records
31. A bare ice field in east Queen Maud Land. Antarctica, caused by horizontal divergence of drifting snow
32. Surface mass balance in east Dronning Maud Land. Antarctica, observed by Japanese Antarctic Research Expeditions
33. Spatial and temporal variability of net snow accumulation over the Antarctic from ECMWF re-analysis project data
34. Evaluation of a regional atmospheric climate model using in situ measurements from Antarctica
35. Evaluation of a regional atmospheric model using measurements of surface heat exchange processes from a site in Antarctica
36. Reassessment of net surface mass balance in Antarctica
37. Borehole versus isotope temperatures on Greenland: Seasonality does matter
38. Change in mass balance of polar ice sheets and sea level from high-resolution GCM simulations of greenhouse warming