A 44-Year Daily Gridded Precipitation Dataset for Asia Based on a Dense Network of Rain Gauges

Yatagai, Akiyo; Arakawa, Osamu; Kamiguchi, Kenji; Kawamoto, H.; Nodzu, Masato I.; Hamada, Atsushi

doi:10.2151/sola.2009-035

Cited by 495 publications

(369 citation statements)

References 15 publications

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“…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%

Spatially heterogeneous wastage of Himalayan glaciers

Fujita

Nuimura²

2011

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

244

227

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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.

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Section: Resultsmentioning

confidence: 99%

Spatially heterogeneous wastage of Himalayan glaciers

Fujita

Nuimura²

2011

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

244

227

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“…Barros et al (2000) demonstrated that TRMM PR estimates of low elevation precipitation in the CH compared well with station observations. TRMM's relatively short 16-year precipitation record is not adequate for analyzing long-term variability and is thus supplemented by APHRODITE at daily 0.25° resolution 1951-2007 (Yatagai et al 2009) for analysis spanning . APHRODITE data are produced using distance-weighted interpolation between station observations, which performs less than ideally over the Himalaya where observations are sparse and topography is complex.…”

Section: Datamentioning

confidence: 99%

Multi-annual variations in winter westerly disturbance activity affecting the Himalaya

et al. 2014

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“…We also use the 0.5° daily gridded APHRODITE dataset, version APHRO_MA_ V1003R1 (which has better quality control, incorporates more data, and has had bugs corrected when compared with APHRO_MA_V0902, Yatagai et al 2009). APHRO-DITE is primarily derived from rain gauges and is available over land only from 1951 to 2007.…”

Section: Observational Datasetsmentioning

confidence: 99%

The resolution sensitivity of the South Asian monsoon and Indo-Pacific in a global 0.35° AGCM

et al. 2015

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and the Maritime Continent results in more precipitation over the Maritime Continent islands at the expense of reduced precipitation further north. We also evaluate the resolution sensitivity of monsoon depressions and lows, which contribute more precipitation over northeast India at higher resolution. We conclude that while increasing resolution at these scales does not solve the many monsoon biases that exist in GCMs, it has a number of small, beneficial impacts.

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A 44-Year Daily Gridded Precipitation Dataset for Asia Based on a Dense Network of Rain Gauges

Cited by 495 publications

References 15 publications

Spatially heterogeneous wastage of Himalayan glaciers

Spatially heterogeneous wastage of Himalayan glaciers

Multi-annual variations in winter westerly disturbance activity affecting the Himalaya

The resolution sensitivity of the South Asian monsoon and Indo-Pacific in a global 0.35° AGCM

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