Search Results - "Chaney, Nathaniel W."

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  1. 1

    High-resolution modeling of the spatial heterogeneity of soil moisture: Applications in network design by Chaney, Nathaniel W., Roundy, Joshua K., Herrera-Estrada, Julio E., Wood, Eric F.

    Published in Water resources research (01-01-2015)
    “…The spatial heterogeneity of soil moisture remains a persistent challenge in the design of in situ measurement networks, spatial downscaling of coarse…”
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    Journal Article
  2. 2

    SMAP-HydroBlocks, a 30-m satellite-based soil moisture dataset for the conterminous US by Vergopolan, Noemi, Chaney, Nathaniel W., Pan, Ming, Sheffield, Justin, Beck, Hylke E., Ferguson, Craig R., Torres-Rojas, Laura, Sadri, Sara, Wood, Eric F.

    Published in Scientific data (11-10-2021)
    “…Soil moisture plays a key role in controlling land-atmosphere interactions, with implications for water resources, agriculture, climate, and ecosystem…”
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  3. 3

    Semi‐Coupling of a Field‐Scale Resolving Land‐Surface Model and WRF‐LES to Investigate the Influence of Land‐Surface Heterogeneity on Cloud Development by Simon, Jason S., Bragg, Andrew D., Dirmeyer, Paul A., Chaney, Nathaniel W.

    “…Contemporary Earth system models mostly ignore the sub‐grid scale (SGS) heterogeneous coupling between the land surface and atmosphere. To aid in the…”
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  4. 4

    Harnessing big data to rethink land heterogeneity in Earth system models by Chaney, Nathaniel W, Van Huijgevoort, Marjolein H. J, Shevliakova, Elena, Malyshev, Sergey, Milly, Paul C. D, Gauthier, Paul P. G, Sulman, Benjamin N

    Published in Hydrology and earth system sciences (14-06-2018)
    “…The continual growth in the availability, detail, and wealth of environmental data provides an invaluable asset to improve the characterization of land…”
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  5. 5
  6. 6

    Spatial downscaling of precipitation using adaptable random forests by He, Xiaogang, Chaney, Nathaniel W., Schleiss, Marc, Sheffield, Justin

    Published in Water resources research (01-10-2016)
    “…This paper introduces Prec‐DWARF (Precipitation Downscaling With Adaptable Random Forests), a novel machine‐learning based method for statistical downscaling…”
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  7. 7

    Internationally coordinated multi-mission planning is now critical to sustain the space-based rainfall observations needed for managing floods globally by Reed, Patrick M, Chaney, Nathaniel W, Herman, Jonathan D, Ferringer, Matthew P, Wood, Eric F

    Published in Environmental research letters (01-02-2015)
    “…At present 4 of 10 dedicated rainfall observing satellite systems have exceeded their design life, some by more than a decade. Here, we show operational…”
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  8. 8

    Combining hyper-resolution land surface modeling with SMAP brightness temperatures to obtain 30-m soil moisture estimates by Vergopolan, Noemi, Chaney, Nathaniel W., Beck, Hylke E., Pan, Ming, Sheffield, Justin, Chan, Steven, Wood, Eric F.

    Published in Remote sensing of environment (01-06-2020)
    “…Accurate and detailed soil moisture information is essential for, among other things, irrigation, drought and flood prediction, water resources management, and…”
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  9. 9

    HydroBlocks: a field-scale resolving land surface model for application over continental extents by Chaney, Nathaniel W., Metcalfe, Peter, Wood, Eric F.

    Published in Hydrological processes (30-09-2016)
    “…Land surface spatial heterogeneity plays a significant role in the water, energy, and carbon cycles over a range of temporal and spatial scales. Until now, the…”
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  10. 10

    An initial assessment of SMAP soil moisture retrievals using high‐resolution model simulations and in situ observations by Pan, Ming, Cai, Xitian, Chaney, Nathaniel W., Entekhabi, Dara, Wood, Eric F.

    Published in Geophysical research letters (28-09-2016)
    “…At the end of its first year of operation, we compare soil moisture retrievals from the Soil Moisture Active Passive (SMAP) mission to simulations from a land…”
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  11. 11

    Changing water availability during the African maize-growing season, 1979-2010 by Estes, Lyndon D, Chaney, Nathaniel W, Herrera-Estrada, Julio, Sheffield, Justin, Caylor, Kelly K, Wood, Eric F

    Published in Environmental research letters (01-07-2014)
    “…Understanding how global change is impacting African agriculture requires a full physical accounting of water supply and demand, but accurate, gridded data on…”
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  12. 12

    Development of a High-Resolution Gridded Daily Meteorological Dataset over Sub-Saharan Africa: Spatial Analysis of Trends in Climate Extremes by Chaney, Nathaniel W., Sheffield, Justin, Villarini, Gabriele, Wood, Eric F.

    Published in Journal of climate (01-08-2014)
    “…Assessing changes in the frequency and intensity of extreme meteorological events and their impact on water resources, agriculture, and infrastructure is…”
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  13. 13

    The Benefits of Using State‐Of‐The‐Art Digital Soil Properties Maps to Improve the Modeling of Soil Moisture in Land Surface Models by Xu, Chengcheng, Torres‐Rojas, Laura, Vergopolan, Noemi, Chaney, Nathaniel W.

    Published in Water resources research (01-04-2023)
    “…This study assesses the added value of using emerging maps of soil properties to improve surface soil moisture simulations using the HydroBlocks land surface…”
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  14. 14

    POLARIS Soil Properties: 30‐m Probabilistic Maps of Soil Properties Over the Contiguous United States by Chaney, Nathaniel W., Minasny, Budiman, Herman, Jonathan D., Nauman, Travis W., Brungard, Colby W., Morgan, Cristine L. S., McBratney, Alexander B., Wood, Eric F., Yimam, Yohannes

    Published in Water resources research (01-04-2019)
    “…Soils play a critical role in the cycling of water, energy, and carbon in the Earth system. Until recently, due primarily to a lack of soil property maps of a…”
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  15. 15

    Deriving global parameter estimates for the Noah land surface model using FLUXNET and machine learning by Chaney, Nathaniel W., Herman, Jonathan D., Ek, Michael B., Wood, Eric F.

    “…With their origins in numerical weather prediction and climate modeling, land surface models aim to accurately partition the surface energy balance. An…”
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  16. 16

    High‐Resolution Soil Moisture Data Reveal Complex Multi‐Scale Spatial Variability Across the United States by Vergopolan, Noemi, Sheffield, Justin, Chaney, Nathaniel W., Pan, Ming, Beck, Hylke E., Ferguson, Craig R., Torres‐Rojas, Laura, Eigenbrod, Felix, Crow, Wade, Wood, Eric F.

    Published in Geophysical research letters (16-08-2022)
    “…Soil moisture (SM) spatiotemporal variability critically influences water resources, agriculture, and climate. However, besides site‐specific studies, little…”
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  17. 17

    Field-scale soil moisture bridges the spatial-scale gap between drought monitoring and agricultural yields by Vergopolan, Noemi, Xiong, Sitian, Estes, Lyndon, Wanders, Niko, Chaney, Nathaniel W, Wood, Eric F, Konar, Megan, Caylor, Kelly, Beck, Hylke E, Gatti, Nicolas, Evans, Tom, Sheffield, Justin

    Published in Hydrology and earth system sciences (09-04-2021)
    “…Soil moisture is highly variable in space and time, and deficits (i.e., droughts) play an important role in modulating crop yields. Limited hydroclimate and…”
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  18. 18

    HydroBlocks v0.2: enabling a field-scale two-way coupling between the land surface and river networks in Earth system models by Chaney, Nathaniel W, Torres-Rojas, Laura, Vergopolan, Noemi, Fisher, Colby K

    Published in Geoscientific Model Development (09-11-2021)
    “…Over the past decade, there has been appreciable progress towards modeling the water, energy, and carbon cycles at field scales (10–100 m) over continental to…”
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  19. 19

    Investigating the Response of Land-Atmosphere Interactions and Feedbacks to Spatial Representation of Irrigation in a Coupled Modeling Framework by Lawston-Parker, Patricia, Jr, Joseph A. Santanello, Chaney, Nathaniel W.

    Published in Hydrology and earth system sciences (26-07-2023)
    “…The transport of water, heat, and momentum from the surface to the atmosphere is dependent in part on the 10 characteristics of the land surface. Together with…”
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  20. 20

    Validation of SMAP soil moisture for the SMAPVEX15 field campaign using a hyper‐resolution model by Cai, Xitian, Pan, Ming, Chaney, Nathaniel W., Colliander, Andreas, Misra, Sidharth, Cosh, Michael H., Crow, Wade T., Jackson, Thomas J., Wood, Eric F.

    Published in Water resources research (01-04-2017)
    “…Accurate global mapping of soil moisture is the goal of the Soil Moisture Active Passive (SMAP) mission, which is expected to improve the estimation of water,…”
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