Evaluation of the Hydrological Cycle in the ECHAM5 Model

Hagemann, Stefan; Arpe, Klaus; Roeckner, Erich

doi:10.1175/jcli3831.1

Cited by 169 publications

(174 citation statements)

References 29 publications

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“…Atmospheric simulations were carried out using ECHAM5-wiso , which is the isotope-enabled version of the atmospheric general circulation model ECHAM5 (Roeckner et al, 2003;Hagemann et al, 2006;Roeckner et al, 2006). The model considers both stable water isotopes H 18 2 O and HDO, which have been explicitly implemented into its hydrological cycle, analogous to the isotope modelling approach used in the previous model versions ECHAM3 (Hoffmann et al, 1998) and ECHAM4 (e.g.…”

Section: Model Descriptionmentioning

confidence: 99%

Variations of oxygen-18 in West Siberian precipitation during the last 50 years

et al. 2014

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Abstract. Global warming is associated with large increases in surface air temperature in Siberia. Here, we apply the isotope-enabled atmospheric general circulation model ECHAM5-wiso to explore the potential of water isotope measurements at a recently opened monitoring station in Kourovka (57.04 • N, 59.55 • E) in order to successfully trace climate change in western Siberia. Our model is constrained to atmospheric reanalysis fields for the period 1957-2013 to facilitate the comparison with observations of δD in total column water vapour from the GOSAT satellite, and with precipitation δ 18 O measurements from 15 Russian stations of the Global Network of Isotopes in Precipitation. The model captures the observed Russian climate within reasonable error margins, and displays the observed isotopic gradients associated with increasing continentality and decreasing meridional temperatures. The model also reproduces the observed seasonal cycle of δ 18 O, which parallels the seasonal cycle of temperature and ranges from −25 ‰ in winter to −5 ‰ in summer. Investigating West Siberian climate and precipitation δ 18 O variability during the last 50 years, we find long-term increasing trends in temperature and δ 18 O, while precipitation trends are uncertain. During the last 50 years, winter temperatures have increased by 1.7 • C. The simulated long-term increase of precipitation δ 18 O is at the detection limit (< 1 ‰ per 50 years) but significant. West Siberian climate is characterized by strong interannual variability, which in winter is strongly related to the North Atlantic Oscillation. In winter, regional temperature is the predominant factor controlling δ 18 O variations on interannual to decadal timescales with a slope of about 0.5 ‰ • C −1 . In summer, the interannual variability of δ 18 O can be attributed to shortterm, regional-scale processes such as evaporation and convective precipitation. This finding suggests that precipitation δ 18 O has the potential to reveal hydrometeorological regime shifts in western Siberia which are otherwise difficult to identify. Focusing on Kourovka, the simulated evolution of temperature, δ 18 O and, to a smaller extent, precipitation during the last 50 years is synchronous with model results averaged over all of western Siberia, suggesting that this site will be representative to monitor future isotopic changes in the entire region.

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Section: Model Descriptionmentioning

confidence: 99%

Variations of oxygen-18 in West Siberian precipitation during the last 50 years

et al. 2014

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“…(ii) Improvements in the treatment of humidity in ERAInterim compared with ERA-40 significantly reduced the overestimation of precipitation discussed in Hagemann et al (2005), particularly over the tropical oceans, with associated latent heating and circulation changes (Simmons et al, 2007). (iii) Improvements in the representation of the stratosphere resulted in a more realistic age of air in the stratosphere in ERA-Interim and also increased agreement with observations of stratospheric humidity and temperature.…”

Section: The Era Data Setsmentioning

confidence: 99%

A global blended tropopause based on ERA data. Part I: Climatology

Wilcox

Hoskins

Shine

2011

Quart J Royal Meteoro Soc

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“…In particular, location and geometry of the Inter-Tropical Convergence Zone (ITCZ), and distribution and time evolution of divergence in the tropics are different among the reanalyses (Newman et al 2000). In the latest ECMWF reanalysis ERA-40, in which satellite data were maximally assimilated, excess precipitation appeared in the tropics, which seemed to be caused by problems Bengtsson et al 2004b;Hagemann et al 2005).…”

Section: Introductionmentioning

confidence: 99%

The JRA-25 Reanalysis

Onogi

Tsutsui

Koide

et al. 2007

Journal of the Meteorological Society of Japan

1,552

1,179

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A long-term global atmospheric reanalysis, named ''Japanese 25-year Reanalysis (JRA-25)'' was completed using the Japan Meteorological Agency (JMA) numerical assimilation and forecast system. The analysis covers the period from 1979 to 2004. This is the first long-term reanalysis undertaken in Asia. JMA's latest numerical assimilation system, and specially collected observational data, were used to generate a consistent and high-quality reanalysis dataset designed for climate research and operational monitoring and forecasts. One of the many purposes of JRA-25 is to enhance the analysis to a high quality in the Asian region.Six-hourly data assimilation cycles were performed, producing 6-hourly atmospheric analysis and forecast fields of various physical variables. The global model used in JRA-25 has a spectral resolution of T106 (equivalent to a horizontal grid size of around 120 km) and 40 vertical layers with the top level at 0.4 hPa. In addition to conventional surface and upper air observations, atmospheric motion vector (AMV) wind retrieved from geostationary satellites, brightness temperature from TIROS Operational Vertical Sounder (TOVS), precipitable water retrieved from orbital satellite microwave radiometer radiance and other satellite data are assimilated with three-dimensional variational method (3D-Var). JMA produced daily sea surface temperature (SST), sea ice and three-dimensional ozone profiles for JRA-25. A new quality control method for TOVS data was developed and applied in advance.Many advantages have been found in the JRA-25 reanalysis. Predicted 6-hour global total precipitation distribution and amount are well reproduced both in space and time. The performance of the long time series of the global precipitation is the best among the other reanalyses, with few unrealistic variations from degraded satellite data contaminated by volcanic eruptions. Secondly, JRA-25 is the first reanalysis to assimilate wind profiles around tropical cyclones reconstructed from historical best track information; tropical cyclones were analyzed properly in all the global regions. Additionally, low-level cloud along the subtropical western coast of continents is well simulated and snow depth analysis is also of a good quality. The article also covers material which requires attention when using JRA-25.

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Evaluation of the Hydrological Cycle in the ECHAM5 Model

Cited by 169 publications

References 29 publications

Variations of oxygen-18 in West Siberian precipitation during the last 50 years

Variations of oxygen-18 in West Siberian precipitation during the last 50 years

A global blended tropopause based on ERA data. Part I: Climatology

The JRA-25 Reanalysis

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