Decrease in evaporation over the Indian monsoon region: implication on regional hydrological cycle

Padmakumari, B.; Jaswal, A. K.; Goswami, Bedartha

doi:10.1007/s10584-013-0957-3

Cited by 50 publications

(37 citation statements)

References 46 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Recent studies have stressed the important role of the aerodynamic component to explain evaporation trends in the last decades (Jhajharia et al, 2009b;Jhajharia et al, 2014;Abtew et al, 2011;McVicar et al, 2012aMcVicar et al, , 2012bLi et al, 2013;Padmakumari et al, 2013). As Johnson and Sharma (2007) suggested for Australia, the explanation of diverging trends found between evaporation observations and estimates is probably linked to the aerodynamic component of evaporation.…”

Section: Influence Of Climate Variability On the Aed Evolutionmentioning

confidence: 98%

“…Temporal evolution of annual and seasonal (winter is not shown) regional Piché evaporation (in mm, black line) and regional relative humidity (in %), mean air temperature (in°C), wind speed (in m s À1 ) and solar radiation (in W m À2 ) for 1961-2011. since the regional E Piché only shows an increase of 5.25 mm decade À1 over 1961-2011. The few studies that have compared variability of AED observations and estimates generally show a good temporal agreement regionally across the world (e.g., Chattopadhyay and Hulme, 1997;Xu et al, 2006;Li et al, 2013;You et al, 2013;Padmakumari et al, 2013), while other studies stressed divergences between E Obs and E Est in some regions of the world. Wang et al (2007) compared Pan evaporation and Penman-Monteith reference evapotranspiration trends in the Yangtze river basin (China), showing a greater decrease for Pan evaporation.…”

Section: Temporal Trends and Relationships Between Aed Observations (mentioning

confidence: 99%

See 1 more Smart Citation

Atmospheric evaporative demand observations, estimates and driving factors in Spain (1961–2011)

Azorín-Molina

Vicente‐Serrano

Sánchez-Lorenzo

et al. 2015

Journal of Hydrology

View full text Add to dashboard Cite

s u m m a r yWe analyzed the spatio-temporal evolution of evaporation observations from Piché atmometers (1961-2011; 56 stations) and Pan evaporimeters (1984-2011; 21 stations) across Spain, and compared both measurements with evaporation estimates obtained by four physical models: i.e., Food and Agricultural Organization-56 Penman-Monteith, Food and Agricultural Organization-Pan, PenPan and Penman, based on climate data. In this study we observed a positive and statistically significant correlation between Piché and Pan evaporation measurements during the common period (1984-2011; 19 stations), mainly in summer. When evaporation observations and estimates were compared, we detected positive and statistically significant correlations with the four methods, except for winter. Among the four physical models, the FAO-Pan showed the best fitting to both Piché and Pan evaporation measurements; the PenPan model overestimated evaporation rates; and the FAO-Penman-Monteith and Penman methods underestimated evaporation observations. We also observed a better spatial agreement between Pan evaporation and estimates than that obtained by Piché measurements. Annual and seasonal trends of evaporation estimates show a statistically significant increase for 1961-2011, which do not agree with long-term Piché evaporation trends; e.g. a discontinuity was found around the 1980s. Radiative and aerodynamic driving factors suggest that this discontinuity, and the observed evaporation trends across Spain could be associated with the abrupt increase in air temperature observed during last few decades (i.e., global warming). Further investigations using available Piché evaporation observations for other regions are needed to better understand physical components influencing long-term trends of evaporation.

show abstract

Section: Influence Of Climate Variability On the Aed Evolutionmentioning

confidence: 98%

Section: Temporal Trends and Relationships Between Aed Observations (mentioning

confidence: 99%

Atmospheric evaporative demand observations, estimates and driving factors in Spain (1961–2011)

Azorín-Molina

Vicente‐Serrano

Sánchez-Lorenzo

et al. 2015

Journal of Hydrology

View full text Add to dashboard Cite

show abstract

“…It is interesting to notice that there is a significant decrease in observed surface wind speeds globally [ McVicar et al ., ]. For example, about 40% decrease in surface wind was reported in the last 4 decades over India [ Padmakumari et al ., ]. Aerosols could cause the decrease of surface wind [ Yang et al ., ].…”

Section: Attributions Of P/pet Changes Over Landmentioning

confidence: 99%

Responses of terrestrial aridity to global warming

Feng

2014

J. Geophys. Res. Atmos.

288

244

View full text Add to dashboard Cite

The dryness of terrestrial climate can be measured by the ratio of annual precipitation (P) to potential evapotranspiration (PET), where the latter represents the evaporative demand of the atmosphere, which depends on the surface air temperature, relative humidity, wind speed, and available energy. This study examines how the terrestrial mean aridity responds to global warming in terms of P/PET using the Coupled Model Intercomparison Project phase 5 transient CO 2 increase to 2 × CO 2 simulations. We show that the (percentage) increase (rate) in P averaged over land is~1.7%/°C ocean mean surface air temperature increase, while the increase in PET is 5.3%/°C, leading to a decrease in P/PET (i.e., a drier terrestrial climate) by~3.4%/°C. Noting a similar rate of percentage increase in P over land to that in evaporation (E) over ocean, we propose a framework for examining the change in P/PET, in which we compare the change in PET over land and E over ocean, both expressed using the Penman-Monteith formula. We show that a drier terrestrial climate is caused by (i) enhanced land warming relative to the ocean, (ii) a decrease in relative humidity over land but an increase over ocean, (iii) part of increase in net downward surface radiation going into the deep ocean, and (iv) different responses of PET over land and E over ocean for given changes in atmospheric conditions (largely associated with changes in temperatures). The relative contributions to the change in terrestrial mean aridity from these four factors are about 35%, 35%, 15%, and 15%, respectively. The slight slowdown of the surface wind over both land and ocean has little impact on the terrestrial mean aridity.

show abstract

“…On large scales, the moisture budget is mainly dictated by surface evaporation and total precipitation is limited by the budget of low level moisture (Tao et al 2012). Recently, Padmakumari et al (2013) have shown that the surface evaporation is also an important component for the hydrological cycle. In steady state assumption, the source of evaporation in the atmosphere is coming from the precipitation that fallout due to convergence of moisture which is again advected by winds (Padmakumari et al 2013).…”

Section: Precipitation and Microphysical Tendency Terms (Production Rmentioning

confidence: 99%

“…Recently, Padmakumari et al (2013) have shown that the surface evaporation is also an important component for the hydrological cycle. In steady state assumption, the source of evaporation in the atmosphere is coming from the precipitation that fallout due to convergence of moisture which is again advected by winds (Padmakumari et al 2013). Therefore, now we have focused on the freezing and evaporation rates (Fig.…”

Section: Precipitation and Microphysical Tendency Terms (Production Rmentioning

confidence: 99%

Indian summer monsoon precipitating clouds: role of microphysical process rates

et al. 2015

View full text Add to dashboard Cite

the formation of cloud ice as revealed by the observation. Freezing rates at upper level and snow accretion at middle level may have effect on latent heating release. Further it can modulate the north-south temperature gradient which can influence the large-scale monsoon dynamics. The rain water evaporation is also considered as a key aspect for controlling the low level moisture convergence (source of water vapor) in ISM. This study has highlighted the importance of detailed microphysical production rates for warm and mixed-phase cloud processes, which is a major source of uncertainty in the climate models. Better understanding of these processes will definitely add value to the present generation climate models. Therefore the hypothesis/pathway emerged from the present study may be helpful for the future model development research.

show abstract

Decrease in evaporation over the Indian monsoon region: implication on regional hydrological cycle

Cited by 50 publications

References 46 publications

Atmospheric evaporative demand observations, estimates and driving factors in Spain (1961–2011)

Atmospheric evaporative demand observations, estimates and driving factors in Spain (1961–2011)

Responses of terrestrial aridity to global warming

Indian summer monsoon precipitating clouds: role of microphysical process rates

Contact Info

Product

Resources

About