Elucidating vegetation controls on the hydroclimatology of a mid-latitude basin

Yıldız, Osman; Barros, Ana P.

doi:10.1016/j.jhydrol.2006.09.010

Cited by 34 publications

(24 citation statements)

References 60 publications

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“…McMichael et al (2006) showed that the LAI using remote sensing in distributed hydrological modeling can reduce the uncertainty of estimates of flow in a watershed in the semi-arid region of California-USA. Yildiz & Barros (2007) used data of LAI estimated from orbital images in hydrologic models and found that vegetation plays a key role in control of hydrological processes in a catchment area of mid-latitudes.…”

Section: Introductionmentioning

confidence: 99%

Evapotranspiration from Remote Sensing to Improve the Swat Model in Eastern Amazonia

et al. 2015

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Section: Introductionmentioning

confidence: 99%

Evapotranspiration from Remote Sensing to Improve the Swat Model in Eastern Amazonia

et al. 2015

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“…In all these methods, lumped rainfall-runoff model inputs are precipitation and potential evapotranspiration (or air temperature), and rainfall-runoff model parameters are generally optimized only against observed streamflow. Rainfall-runoff models seldom consider vegetation processes, which can play an important role in midlatitude catchments (Huang and Zhang 2004;Tuteja et al 2007;Yildiz and Barros 2007). Because of the lack of surface vegetation information in rainfall-runoff modeling inputs, calibrated lumped rainfall-runoff models may not estimate water balance components, evapotranspiration, and water storage change accurately, which possibly limits their ability to estimate runoff in ungauged catchments.…”

Section: Introductionmentioning

confidence: 99%

Use of Remotely Sensed Actual Evapotranspiration to Improve Rainfall–Runoff Modeling in Southeast Australia

Zhang

Chiew

Zhang

et al. 2009

Journal of Hydrometeorology

125

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This paper explores the use of the Moderate Resolution Imaging Spectroradiometer (MODIS), mounted on the polar-orbiting Terra satellite, to determine leaf area index (LAI), and use actual evapotranspiration estimated using MODIS LAI data combined with the Penman-Monteith equation [remote sensing evapotranspiration (E RS )] in a lumped conceptual daily rainfall-runoff model. The model is a simplified version of the HYDROLOG (SIMHYD) model, which is used to estimate runoff in ungauged catchments. Two applications were explored: (i) the calibration of SIMHYD against both the observed streamflow and E RS , and (ii) the modification of SIMHYD to use MODIS LAI data directly. Data from 2001 to 2005 from 120 catchments in southeast Australia were used for the study. To assess the modeling results for ungauged catchments, optimized parameter values from the geographically nearest gauged catchment were used to model runoff in the ungauged catchment. The results indicate that the SIMHYD calibration against both the observed streamflow and E RS produced better simulations of daily and monthly runoff in ungauged catchments compared to the SIMHYD calibration against only the observed streamflow data, despite the modeling results being assessed solely against the observed streamflow data. The runoff simulations were even better for the modified SIMHYD model that used the MODIS LAI directly. It is likely that the use of other remotely sensed data (such as soil moisture) and smarter modification of rainfall-runoff models to use remotely sensed data directly can further improve the prediction of runoff in ungauged catchments.

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“…In the present study, the local sensitivity of selected model parameters are assessed individually over certain ranges based on IPHEx data and the literature, which ignores non-linear interactions among ACI modelling parameters as discussed above. Future work will focus on 15 exploring the sensitivity of the DCPM in a multi-dimentional parameter space to quantify multiple parameter interactions (Gebremichael and Barros, 2006;Yildiz and Barros, 2007) on ACI processes using the fractorial design method (Box et al, 1978). Atmos.…”

Section: Summary and Discussionmentioning

confidence: 99%

Understanding aerosol-cloud interactions in the development of orographic cumulus congestus during IPHEx

Duan

Petters

Barros

2017

Preprint

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Abstract.A new cloud parcel model (CPM) including activation, condensation, collision-coalescence, and lateral entrainment processes is presented here to investigate aerosol-cloud interactions (ACI) in cumulus development prior to rainfall onset. The CPM was employed along with ground based radar and surface aerosol measurements to predict the vertical structure of cloud formation at early stages and evaluated against airborne observations of cloud microphysics and 10 thermodynamic conditions during the Integrated Precipitation and Hydrology Experiment (IPHEx) over the Southern Appalachian Mountains. Further, the CPM was applied to explore the space of ACI physical parameters controlling cumulus congestus growth not available from measurements, and to examine how variations in aerosol properties and microphysical processes influence the evolution and thermodynamic state of clouds over complex terrain via sensitivity analysis. Modelling results indicate that aerosol-cloud droplet number concentration (CDNC) closure is achieved optimally to ~ 1.3% of the 15 observations for condensation coefficient ( ) = 0.01 and within 5% for 0.01< < 0.015, and the corresponding spectra in the predictions are in good agreement with IPHEx aircraft observations around the same altitude. This is in contrast with larger closure errors and high values reported in previous studies assuming adiabatic conditions. Entrainment is shown to govern the vertical development of clouds and the change of droplet numbers with height, and the sensitivity analysis suggests that entrainment strength and condensation process are mutually compensating to attain aerosol-CDNC closure. 20Simulated CDNC also exhibits high sensitivity to variations in initial aerosol concentration at cloud base, but weak sensitivity to aerosol hygroscopicity. Exploratory multiple-parcel simulations capture realistic time-scales of vertical development of cumulus congestus (deeper clouds and faster droplet growth). These findings provide new insights into determinant factors of mid-day cumulus congestus formation that can explain a large fraction of warm season rainfall in mountainous regions. 25

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Elucidating vegetation controls on the hydroclimatology of a mid-latitude basin

Cited by 34 publications

References 60 publications

Evapotranspiration from Remote Sensing to Improve the Swat Model in Eastern Amazonia

Evapotranspiration from Remote Sensing to Improve the Swat Model in Eastern Amazonia

Use of Remotely Sensed Actual Evapotranspiration to Improve Rainfall–Runoff Modeling in Southeast Australia

Understanding aerosol-cloud interactions in the development of orographic cumulus congestus during IPHEx

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