236
(2001–2015) as captured by both datasets could be seen as possible drivers of mass
budget shift from more negative towards less negative state. However, more deliberation in this context is needed since glacier behavior is quite heterogeneous owing
to many other factors apart from temperature and precipitation.
The validation of gridded datasets with observations has affirmed the utility of
ERA-I and CRU-TS over NWH. ERA-I has an advantage of better resolution, but
long temporal coverage (1901-present) of CRU-TS highlights its utility. Interestingly,
CRU-TS data revealed cooling/warming (with majority of cooling trends) during
1901–1970 over NWH which also agrees to findings of Bhutiyani et  al. (2007).
They reported that post 1960, warmest years of the century (1901–2010) were
observed with few exceptions whereas before 1960, periodicity in warm and cold
years was observed.
Acknowledgements The authors are thankful to Director SASE for motivation and support in
this work. We are also thankful to scientists and technical staff of SASE for data collection from
rugged terrain characterized by extreme harsh weather and climatic conditions. This work is carried out under DRDO project ‘Him-Parivartan’.
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H. S. Negi and N. Kanda
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