A 59-year (1948-2006) global near-surface meteorological data set for land surface models. Part I: Development of daily forcing and assessment of precipitation intensity

Hirabayashi, Yukiko; Kanae, Shinjiro; Motoya, Ken; Masuda, Kooiti; Döll, Petra

doi:10.3178/hrl.2.36

Cited by 58 publications

(33 citation statements)

References 20 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…To describe the fate of the three glaciers, we calculated their mass balance and ELA using an energy-mass balance model (18), employing recently archived gridded climate datasets (19,20). We downscaled daily air temperature and precipitation in the datasets with those observed close to the glaciers for short periods (Table S2).…”

Section: Resultsmentioning

confidence: 99%

“…To obtain the spatial distribution of the ELA trend, air temperature, solar radiation, and precipitation were used from the datasets described above (19,20). We did not employ downscaling of the input or calibration with the mass balance except for air temperature, for which we reduced the annual variability of the gridded air temperature.…”

Section: Methodsmentioning

confidence: 99%

“…Because long-term climate data are unavailable for the Himalayan region, we used recently archived gridded climate datasets (19,20) in which daily values of surface air temperature, solar radiation, and precipitation are available at a spatial resolution of 0.5°× 0.5°. We downscaled the daily air temperature and precipitation in the datasets by comparison with in situ meteorological observations taken near the glaciers for short periods, yielding statistically significant correlations (see SI Text and Table S2).…”

Section: Methodsmentioning

confidence: 99%

See 2 more Smart Citations

Spatially heterogeneous wastage of Himalayan glaciers

Fujita

Nuimura²

2011

Proc. Natl. Acad. Sci. U.S.A.

242

227

View full text Add to dashboard Cite

We describe volumetric changes in three benchmark glaciers in the Nepal Himalayas on which observations have been made since the 1970s. Compared with the global mean of glacier mass balance, the Himalayan glaciers showed rapid wastage in the 1970s-1990s, but similar wastage in the last decade. In the last decade, a glacier in an arid climate showed negative but suppressed mass balance compared with the period 1970s-1990s, whereas two glaciers in a humid climate showed accelerated wastage. A mass balance model with downscaled gridded datasets depicts the fate of the observed glaciers. We also show a spatially heterogeneous distribution of glacier wastage in the Asian highlands, even under the presentday climate warming.climate change | equilibrium line altitude A recent study (1) has highlighted gross inadequacies both in our knowledge of important changes occurring to Himalayan glaciers and in two recent reports that have alternately overestimated (2) and seriously underestimated (3) the pace of shrinkage of Himalayan glaciers without, in either report (2, 3), offering a compelling basis. However, the rate at which Himalayan glaciers are shrinking remains poorly constrained because ground-based measurements are hampered by the high altitude and remoteness of the region. This lack of observational data has given rise to large uncertainties in both observation-based (4-6) and simulation-based (7-9) projections of global sea-level rise. These studies relied on relationships established for well-studied glaciers under a Euro-American climate. However, this approach may be inaccurate because the seasonal cycle of precipitation has a strong effect on the surface albedo and thus on glacier melt in the monsoonal Asian region (10).In addition, much of the debate on the fate of Himalayan glaciers has missed an important consideration of the height and trend of the equilibrium-line altitude (ELA), which divides the glacier into areas of ablation and accumulation (11). The ELA is important because, for example, if the glacier has no accumulation area for a period because the ELA is located above the glacier, the glacier is destined to disappear over time (12). Unfortunately, observations of the mass balance and ELA of Himalayan glaciers have been made only in recent years (13,14).To address these problems, in the present study we update the elevation data for Himalayan benchmark glaciers, providing information for the past decades. We calculate changes in the mass balance and ELA of the three benchmark glaciers using an energy-mass balance model with downscaled gridded climate datasets, in order to describe the state and fate of glaciers. Further calculations are performed to assess the spatial representativeness of the observation-based results.

show abstract

Section: Resultsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

See 1 more Smart Citation

Spatially heterogeneous wastage of Himalayan glaciers

Fujita

Nuimura²

2011

Proc. Natl. Acad. Sci. U.S.A.

242

227

View full text Add to dashboard Cite

show abstract

“…There is no wet-day frequency correction in some studies [Zhao and Dirmeyer, 2003;Ngo-Duc et al, 2005;Hanasaki et al, 2008]. However, many studies account for some wet-day frequency correction [Sheffield et al, 2006;Hirabayashi et al, 2008a;Weedon et al, 2011Weedon et al, , 2014Iizumi et al, 2014], although the methodological details vary by study. The rainfall/snowfall partition was made using various methods including the use of original reanalysis rainfall and snowfall rates [Zhao and Dirmeyer, 2003;Weedon et al, 2011], a simple temperature threshold [Ngo-Duc et al, 2005] and an empirical function of wet bulb temperature [Hirabayashi et al, 2008b;Hanasaki et al, 2008].…”

Section: A3 Differences Between S14fd and Other Major Forcing Data Setsmentioning

confidence: 99%

“…Although bias correction is an unavoidable procedure for using GCM outputs as the inputs of impact models, it is an additional source of uncertainty in climate risk assessments because different bias-correction methods and reference daily weather data sets often lead to different impact outcomes Hawkins et al, 2013;Seaby et al, 2015;Baker et al, 2016]. Global retrospective meteorological forcing data sets, a hybrid of reanalysis data and gridded observations [e.g., Sheffield et al, 2006;Hanasaki et al, 2008;Hirabayashi et al, 2008a;Weedon et al, 2011Weedon et al, , 2014Iizumi et al, 2014], are used as the reference climatology in impact communities when bias correction is conducted at the global scale [e.g., Hempel et al, 2013]. Earlier work examined the uncertainties in the projected climate extremes associated with Representative Concentration Pathways IIZUMI ET AL.…”

Section: Introductionmentioning

confidence: 99%

Contributions of different bias‐correction methods and reference meteorological forcing data sets to uncertainty in projected temperature and precipitation extremes

et al. 2017

Self Cite

View full text Add to dashboard Cite

The use of different bias‐correction methods and global retrospective meteorological forcing data sets as the reference climatology in the bias correction of general circulation model (GCM) daily data is a known source of uncertainty in projected climate extremes and their impacts. Despite their importance, limited attention has been given to these uncertainty sources. We compare 27 projected temperature and precipitation indices over 22 regions of the world (including the global land area) in the near (2021–2060) and distant future (2061–2100), calculated using four Representative Concentration Pathways (RCPs), five GCMs, two bias‐correction methods, and three reference forcing data sets. To widen the variety of forcing data sets, we developed a new forcing data set, S14FD, and incorporated it into this study. The results show that S14FD is more accurate than other forcing data sets in representing the observed temperature and precipitation extremes in recent decades (1961–2000 and 1979–2008). The use of different bias‐correction methods and forcing data sets contributes more to the total uncertainty in the projected precipitation index values in both the near and distant future than the use of different GCMs and RCPs. However, GCM appears to be the most dominant uncertainty source for projected temperature index values in the near future, and RCP is the most dominant source in the distant future. Our findings encourage climate risk assessments, especially those related to precipitation extremes, to employ multiple bias‐correction methods and forcing data sets in addition to using different GCMs and RCPs.

show abstract

Assessing the impacts of reservoir operation to floodplain inundation by combining hydrological, reservoir management, and hydrodynamic models

Mateo

Hanasaki

Komori

et al. 2014

Water Resources Research

125

105

View full text Add to dashboard Cite

A catastrophic flood event which caused massive economic losses occurred in Thailand, in 2011.Several studies have already been conducted to analyze the Thai floods, but none of them have assessed the impacts of reservoir operation on flood inundation. This study addresses this gap by combining physically based hydrological models to explicitly simulate the impacts of reservoir operation on flooding in the Chao Phraya River Basin, Thailand. H08, an integrated water resources model with a reservoir operation module, was combined with CaMa-Flood, a river routing model with representation of flood dynamics. The combined H08-CaMa model was applied to simulate and assess the historical and alternative reservoir operation rules in the two largest reservoirs in the basin. The combined H08-CaMa model effectively simulated the 2011 flood: regulated flows at a major gauging station have high daily NSE-coefficient of 92% as compared with observed discharge; spatiotemporal extent of simulated flood inundation match well with those of satellite observations. Simulation results show that through the operation of reservoirs in 2011, flood volume was reduced by 8.6 billion m 3 and both depth and area of flooding were reduced by 40% on the average. Nonetheless, simple modifications in reservoir operation proved to further reduce the flood volume by 2.4 million m 3 and the depth and area of flooding by 20% on the average. By modeling reservoir operation with a hydrodynamic model, a more realistic simulation of the 2011 Thai flood was made possible, and the potential of reducing flood inundation through improved reservoir management was quantified.

show abstract

A 59-year (1948-2006) global near-surface meteorological data set for land surface models. Part I: Development of daily forcing and assessment of precipitation intensity

Cited by 58 publications

References 20 publications

Spatially heterogeneous wastage of Himalayan glaciers

Spatially heterogeneous wastage of Himalayan glaciers

Contributions of different bias‐correction methods and reference meteorological forcing data sets to uncertainty in projected temperature and precipitation extremes

Assessing the impacts of reservoir operation to floodplain inundation by combining hydrological, reservoir management, and hydrodynamic models

Contact Info

Product

Resources

About