MODIS Inundation Estimate Assimilation into Soil Moisture Accounting Hydrologic Model: A Case Study in Southeast Asia

Posner, Ari; Georgakakos, Konstantine P.; Shamir, Eylon

doi:10.3390/rs61110835

Cited by 10 publications

(7 citation statements)

References 38 publications

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“…Data assimilation is a method that combines a model with observation data [ 20 , 42 , 43 ]. In this paper, the WOFOST model under potential production levels (suitable water and nutrients), was assimilated with the observation data.…”

Section: Methodsmentioning

confidence: 99%

Finding the Key Periods for Assimilating HJ-1A/B CCD Data and the WOFOST Model to Evaluate Heavy Metal Stress in Rice

Zhao

Xu²,

Liu

et al. 2018

Sensors

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Accurately monitoring heavy metal stress in crops is vital for food security and agricultural production. The assimilation of remote sensing images into the World Food Studies (WOFOST) model provides an efficient way to solve this problem. In this study, we aimed at investigating the key periods of the assimilation framework for continuous monitoring of heavy metal stress in rice. The Harris algorithm was used for the leaf area index (LAI) curves to select the key period for an optimized assimilation. To obtain accurate LAI values, the measured dry weight of rice roots (WRT), which have been proven to be the most stress-sensitive indicator of heavy metal stress, were incorporated into the improved WOFOST model. Finally, the key periods, which contain four dominant time points, were used to select remote sensing images for the RS-WOFOST model for continuous monitoring of heavy metal stress. Compared with the key period which contains all the available remote sensing images, the results showed that the optimal key period can significantly improve the time efficiency of the assimilation framework by shortening the model operation time by more than 50%, while maintaining its accuracy. This result is highly significant when monitoring heavy metals in rice on a large-scale. Furthermore, it can also offer a reference for the timing of field measurements in monitoring heavy metal stress in rice.

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Section: Methodsmentioning

confidence: 99%

Finding the Key Periods for Assimilating HJ-1A/B CCD Data and the WOFOST Model to Evaluate Heavy Metal Stress in Rice

Zhao

Xu²,

Liu

et al. 2018

Sensors

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“…Legal and illegal deforestation activities are significantly disturbing the rainfall-runoff processes, with disastrous effects on a considerable number of Romanian rural communities. Choi (2013) and Posner et al (2014), showed the importance of mapping products and simulation models for the small watershed protection and flood prevention for refined prognosis of water system evolution.…”

Section: Discussionmentioning

confidence: 99%

Methods of Maximum Discharge Computation in Ungauged River Basins. Review of Procedures in Romania

Voda¹,

Sarpe²,

Voda³

2018

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ABSTRACT:Maximum discharge determination on small river basins with no hydrological measurement utilities is important for the rainfall-runoff correlation and the accurate assessment of the watershed surface flow effects. Discharge transfer time calculation from rainfall to runoff requires correct determined hydrological parameters. The focus of this article is the evaluation of Romanian methodologies used for maximum discharge computation in ungauged river basins. Our research for ungauged small river basins study methodology was carried on using remote sensing, GIS and regional datasets. Field work on significant small catchments was necessary for the basin morphological features assessment and land cover characteristics validation. We found that the Romanian rational methodology is widely used according to national landscapes features classification, applicable to a considerable number of ungauged river basins. Our study presents the benefits and limitations of the official Romanian methodologies used for small ungauged river basins scientific assessment and hydrological calculations.

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“…The nature of the R2O process is similar for other components of the FFGS. An example is the effective landsurface component parametrization and validation using a variety of evolving remotely sensed data and products (e.g., Posner et al 2014;Shamir and Georgakakos, 2014). Another example is the multi-model ensemble forecasting and uncertainty characterization; from the theory in Ntelekos et al 2006 and, to application in the operational systems by including forecasts from several mesoscale atmospheric models, and to the current effort to use several land-surface component models as well.…”

Section: Design Of the Ffgsmentioning

confidence: 99%

The Flash Flood Guidance System Implementation Worldwide: A Successful Multidecadal Research-to-Operations Effort

Georgakakos

Modrick

Shamir

et al. 2022

Bulletin of the American Meteorological Society

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At the beginning of the 21st Century a research-to-operations program was initiated to design and develop operational systems to support local forecasters in their challenging task to provide advance warning for flash floods worldwide. Twenty some years later, the Flash Flood Guidance System with global coverage provides real-time assessment and guidance products to more than 60 countries, serving nearly 3 billion people. The implementation domains cover a wide range of hydroclimatological, geomorphological and land-use regimes worldwide. This flexible and evolving system combines meteorology and hydrology data and concepts as well as supports product utility for flash-flood disaster mitigation on very large scales with high spatial and temporal resolution. Through quality control procedures, it integrates remotely-sensed data of land-surface precipitation and of land-surface properties from geostationary and polar orbiter satellite platforms, reflectivity data from a variety of weather radar systems, as well as asynchronous precipitation data from ground-based automated precipitation gauges, in order to produce assessments and short-term forecasts that support forecasters and disaster managers in real time. For each region, it also integrates mesoscale meteorological model forecasts with land-surface model response to produce longer-term guidance products. It contains components and interfaces that allow real-time forecaster adjustments to products based on local last-minute field information and relevant forecaster experience. Assessments of utility for flash flood warning operations by national forecasting agencies worldwide are positive. The article exemplifies the process of realization and evolution of the FFGS from research in interdisciplinary fields to operations in diverse environments, and discusses lessons learned.

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MODIS Inundation Estimate Assimilation into Soil Moisture Accounting Hydrologic Model: A Case Study in Southeast Asia

Cited by 10 publications

References 38 publications

Finding the Key Periods for Assimilating HJ-1A/B CCD Data and the WOFOST Model to Evaluate Heavy Metal Stress in Rice

Finding the Key Periods for Assimilating HJ-1A/B CCD Data and the WOFOST Model to Evaluate Heavy Metal Stress in Rice

Methods of Maximum Discharge Computation in Ungauged River Basins. Review of Procedures in Romania

The Flash Flood Guidance System Implementation Worldwide: A Successful Multidecadal Research-to-Operations Effort

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