Multisource Estimation of Long-Term Terrestrial Water Budget for Major Global River Basins

Pan, Ming; Sahoo, Alok Kumar; Troy, Tara J.; Vinukollu, R. K.; Sheffield, Justin; Wood, Eric F.

doi:10.1175/jcli-d-11-00300.1

Cited by 214 publications

(268 citation statements)

References 39 publications

Supporting

Mentioning

257

Contrasting

Unclassified

Order By: Relevance

“…Runoff is a very important component in the terrestrial water budget (precipitation, evapotranspiration, runoff, and soil/snow water storage) in terms of both its magnitude and temporal variability (Hagemann and Dumenil, 1998;Pan et al, 2012). And runoff is also the only component in the terrestrial water budget that cannot be measured directly at the time and location it occurs.…”

Section: Introductionmentioning

confidence: 99%

Inverse streamflow routing

Pan

Wood

2013

Hydrol. Earth Syst. Sci.

View full text Add to dashboard Cite

Abstract. The process whereby the spatially distributed runoff (generated through saturation/infiltration excesses, subsurface flow, etc.) travels over the hillslope and river network and becomes streamflow is generally referred to as "routing". In short, routing is a runoff-to-streamflow process, and the streamflow in rivers is the response to runoff integrated in both time and space. Here we develop a methodology to invert the routing process, i.e., to derive the spatially distributed runoff from streamflow (e.g., measured at gauge stations) by inverting an arbitrary linear routing model using fixed interval smoothing. We refer to this streamflowto-runoff process as "inverse routing". Inversion experiments are performed using both synthetically generated and real streamflow measurements over the Ohio River basin. Results show that inverse routing can effectively reproduce the spatial field of runoff and its temporal dynamics from sufficiently dense gauge measurements, and the inversion performance can also be strongly affected by low gauge density and poor data quality.The runoff field is the only component in the terrestrial water budget that cannot be directly measured, and all previous studies used streamflow measurements in its place. Consequently, such studies are limited to scales where the spatial and temporal difference between the two can be ignored. Inverse routing provides a more sophisticated tool than traditional methods to bridge this gap and infer finescale (in both time and space) details of runoff from aggregated measurements. Improved handling of this final gap in terrestrial water budget analysis may potentially help us to use space-borne altimetry-based surface water measurements for cross-validating, cross-correcting, and assimilation with other space-borne water cycle observations.

show abstract

Section: Introductionmentioning

confidence: 99%

Inverse streamflow routing

Pan

Wood

2013

Hydrol. Earth Syst. Sci.

View full text Add to dashboard Cite

show abstract

“…In present, the real-time hydrological information networks have been established and made available in some countries, such as the National Water Information System (NWIS) in the U.S. (http://waterdata.usgs.gov/nwis), the Hydrological Information Inquiry System (HIIS) in China (http://www.hydroinfo.gov.cn/). Although with great potential to serve as the ground reference for model verifications, such direct measuring technique usually suffers from the inconsistency at spatial and temporal scales, which hampers its effective use at a large scale (Tang et al, 2009b;Pan et al, 2012;Li et al, 2013). More importantly, several key variables, like the terrestrial water storage (TWS), are still hard to directly measure at the monitoring sites.…”

Section: Hydrological Monitoring Observations and Data Assimilationmentioning

confidence: 99%

“…So far, land surface hydrological models have been successfully implemented at both regional (e.g., Maurer et al, 2002;Yang et al, 2004;Tang et al, 2007Tang et al, , 2008Hu et al, 2012;Zhang et al, 2014) and global scales (e.g., Wood, 2007, 2008;Haddeland et al, 2011;Pan et al, 2012). With the aid of real-time meteorological forcings, many model-based hydrological monitoring practices have been conducted to support a real-time flood/drought diagnosis.…”

Section: Hydrological Monitoring Observations and Data Assimilationmentioning

confidence: 99%

“…It is essential to produce a set of optimal hydrological estimates, which can comprehensively harness the advantage from different data sources (Pan et al, 2012). To this end, the data assimilation scheme, which can blend the sparse land observations with the background fields from land surface hydrological modeling, was introduced to improve the model-derived hydrological estimates.…”

Section: Hydrological Monitoring Observations and Data Assimilationmentioning

confidence: 99%

See 1 more Smart Citation

Hydrological monitoring and seasonal forecasting: Progress and perspectives

et al. 2016

View full text Add to dashboard Cite

Hydrological monitoring and seasonal forecasting is an active research field because of its potential applications in hydrological risk assessment, preparedness and mitigation. In recent decades, developments in ground and satellite measurements have made the hydrometeorological information readily available, and advances in information technology have facilitated the data analysis in a real-time manner. New progress in climate research and modeling has enabled the prediction of seasonal climate with reasonable accuracy and increased resolution. These emerging techniques and advances have enabled more timely acquisition of accurate hydrological fluxes and status, and earlier warning of extreme hydrological events such as droughts and floods. This paper gives current state-of-the-art understanding of the uncertainties in hydrological monitoring and forecasting, reviews the efforts and progress in operational hydrological monitoring system assisted by observations from various sources and experimental seasonal hydrological forecasting, and briefly introduces the current monitoring and forecasting practices in China. The grand challenges and perspectives for the near future are also discussed, including acquiring and extracting reliable information for monitoring and forecasting, predicting realistic hydrological fluxes and states in the river basin being significantly altered by human activity, and filling the gap between numerical models and the end user. We highlight the importance of understanding the needs of the operational water management and the priority to transfer research knowledge to decision-makers.

show abstract

“…The physically based and single source SEBS model (Su, 2002) is one of the surface energy balance models widely used by the scientific community. SEBS estimates actual evapotranspiration (ET) using RS retrievals and meteorology data, and it has been applied in many regional to global studies (Gokmen et al, 2013;Ma et al, 2007Ma et al, , 2012Pan et al, 2008Pan et al, , 2012Vinukollu et al, 2011;Jin et al, 2009;Oku et al, 2007;Jia et al, 2003). The details of SEBS algorithm are provided in Su (2002) and Su et al (2001).…”

Section: Et Datamentioning

confidence: 99%

Satellite-based analysis of recent trends in the ecohydrology of a semi-arid region

Gokmen

Vekerdy

Verhoef

et al. 2013

Hydrol. Earth Syst. Sci.

View full text Add to dashboard Cite

Abstract. We present a regional framework for an integrated and spatiotemporally distributed assessment of human-induced trends in the hydrology and the associated ecological health of a semi-arid basin where both human activities (i.e. agriculture) and natural ecosystems are highly groundwater dependent. To achieve this, we analysed the recent trends (from year 2000 to 2010) in precipitation, evapotranspiration (actual and potential) and vegetation greenness (i.e. NDVI) using a combination of satellite and groundbased observations. The trend assessment was applied for the semi-arid Konya Basin (Turkey), one of the largest endorheic basins in the world.The results revealed a consistent increasing trend of both yearly evapotranspiration (totally 63 MCM yr −1 from croplands) and mean NDVI (about 0.004 NDVI yr −1 in irrigated croplands), especially concentrating in the plain part of the basin, while no significant trends were observed for the precipitation and potential evapotranspiration variables. On the contrary, a consistent decreasing trend of both yearly evapotranspiration (totally −2.1 MCM yr −1 ) and mean NDVI (−0.001 NDVI yr −1 ) was observed in the wetlands, which also cannot be explained by trends in precipitation and potential evapotranspiration. The emerging picture suggest that the greening trend of the vegetation and increasing of evapotranspiration in the plain are related to land cover changes (i.e. conversion into irrigated croplands) and to the intensification of the supplementary irrigation for agriculture, which in turn caused drying out of some wetlands and the natural vegetation which mostly depend on the groundwater, the main source of irrigation water as well.Our study presented an example of the utility of spatially and temporally continuous RS data in assessing the regional trends in hydrological and ecological variables and their interactions in a spatially distributed manner in a semi-arid region, which can also be adapted to other regions. Such spatiotemporally distributed analysis at the basin level is particularly important considering that most of the water management interventions also take place at this scale.

show abstract

Multisource Estimation of Long-Term Terrestrial Water Budget for Major Global River Basins

Cited by 214 publications

References 39 publications

Inverse streamflow routing

Inverse streamflow routing

Hydrological monitoring and seasonal forecasting: Progress and perspectives

Satellite-based analysis of recent trends in the ecohydrology of a semi-arid region

Contact Info

Product

Resources

About