Evaluation of the global MODIS 30 arc-second spatially and temporally complete snow-free land surface albedo and reflectance anisotropy dataset

Sun, Qingsong; Wang, Zhuosen; Ли, Жан; Erb, Angela; Schaaf, Crystal B.

doi:10.1016/j.jag.2017.01.011

Cited by 48 publications

(43 citation statements)

References 56 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The AMSR FT and MODIS BSA and SCE records show generally favorable accuracy and performance during the snow cover season , Kim et al 2017a. However, effective satellite monitoring of the ABR from optical-IR sensors are constrained by persistent cloud cover and reduced light levels during the shoulder seasons (Helfrich et al 2007, Sun et al 2017, while satellite microwave FT signals may be degraded by surface water inundation from snowmelt (Kim et al 2017a). The FT sensitivity of microwave sensors may also be influenced by sensor view geometry and the frequency and polarization of the T retrievals, atmospheric conditions, and other factors influencing landscape dielectric properties including soil moisture, snow cover and vegetation conditions.…”

Section: Discussionmentioning

confidence: 99%

Quantifying the effects of freeze-thaw transitions and snowpack melt on land surface albedo and energy exchange over Alaska and Western Canada

Kim

Kimball

et al. 2018

Environ. Res. Lett.

View full text Add to dashboard Cite

Variations in land surface albedo and snow-cover strongly impact the global biosphere, particularly through the snow-albedo feedback on climate. The seasonal freeze-thaw (FT) transition is coupled with snowpack melt dynamics and strongly impacts surface water mobility and the energy budget in the northern (≥45 • N) arctic and boreal region (ABR). However, understanding of the regional variation in snowmelt and its effect on the surface energy budget are limited due to sparse in situ measurements of these processes and environmental constraints on effective monitoring within the ABR. In this study, we combined synergistic observations from overlapping satellite optical-infrared and microwave sensor records to quantify the regional patterns and seasonal progression in wet snow conditions during the spring snowmelt and autumn snow accumulation periods across Alaska and western Canada. The integrated satellite record included daily landscape FT status from AMSR microwave brightness temperature retrievals; and snow-cover extent, black sky albedo and net shortwave solar radiation (R snet ) derived from MODIS and AVHRR observations. The integrated satellite records were analyzed with in situ surface air temperature and humidity observations from regional weather stations over a two-year study period (2015-2016) overlapping with the NASA ABoVE (Arctic Boreal Vulnerability Experiment). Our results show a large (79%) mean decline in land surface albedo between dry snow and snow-free conditions during the spring (March-June) and autumn (August-November) transition periods. Onset of diurnal thawing and refreezing of the surface snow layer and associated wet snow conditions in spring contributed to an approximate 25% decrease in snow cover albedo that extended over a seven to 21 week snowpack depletion period. The lower wet snow albedo enhances R snet by approximately 74% (9-10 MJ m −2 d −1 ) relative to dry snow conditions, reinforcing snowmelt and surface warming, and contributing to growing season onset and activation of biological and hydrological processes in the ABR. These results contribute to better understanding of snow albedo feedbacks to Arctic amplification, and the representation of these processes in global Earth system models.

show abstract

Section: Discussionmentioning

confidence: 99%

Quantifying the effects of freeze-thaw transitions and snowpack melt on land surface albedo and energy exchange over Alaska and Western Canada

Kim

Kimball

et al. 2018

Environ. Res. Lett.

View full text Add to dashboard Cite

show abstract

“…Annually averaged surface albedos were specified at each site using the MODIS MCD43 albedo product for January and July. 23 For efficiency we used the two-stream approximation of radiative transfer, which contributes a 1-3% bias in photolysis coefficients relative to the more accurate but computationally expensive four-stream approximation based on a sensitivity test we ran with TUV. Cloud effects Fig.…”

Section: Proxy Nomentioning

confidence: 99%

Ozone balances in urban Saudi Arabia

2018

View full text Add to dashboard Cite

Net ozone production rates averaging 130 ppb/h lasting 3-5 h are calculated for five cities of urban Saudi Arabia where hourly ozone and NO 2 measurements were taken for a whole year. Concentrations of ozone in the cities are not unusually high at~40 ppb during the peak 4 h, but are 50-60 ppb at altitude throughout the day. A mass balance of ozone reveals that the locations represented by the sites export ozone during the peak production periods before midday at average rates comparable to the net production, but later a substantial import of ozone is required to balance the budget. Concentrations of NO are high throughout the day (~14 ppb) and night (~11 ppb) and yet significant ozone concentrations remain during the night (~18 ppb). An explanation is that large amounts of ozone are generated in the surrounding areas and aloft by ozone precursors from the cities. It is brought back during the night by transport processes and reacts with fresh emissions of NO driven by nightlife resulting in an outflow of NO 2 to create the observed balances. Over the whole day, the regions represented by the sites are net sinks of ozone. We describe and support this picture of ozone balances in urban Saudi Arabia.

show abstract

“…MODIS products used in the MODIS disaggregation include instantaneous swath LST (MOD11_L2; Wan et al, 2004), geolocation data (MOD03), NDVI (MOD13A2; Huete et al, 2002), LAI (MCD15A3; Myneni et al, 2002), albedo (MCD43GF; Schaaf et al, 2010;Sun et al, 2017) and land cover (MCD12Q1; Friedl et al, 2002). The LST swath data, at 1 km spatial resolution, were converted to geographic coordinates using an interactive data language (IDL)-based MODIS reprojection tool.…”

Section: Alexi/disalexi Model Inputsmentioning

confidence: 99%

Daily Landsat-scale evapotranspiration estimation over a forested landscape in North Carolina, USA, using multi-satellite data fusion

Yang

Anderson

Gao

et al. 2017

Hydrol. Earth Syst. Sci.

View full text Add to dashboard Cite

Abstract. As a primary flux in the global water cycle, evapotranspiration (ET) connects hydrologic and biological processes and is directly affected by water and land management, land use change and climate variability. Satellite remote sensing provides an effective means for diagnosing ET patterns over heterogeneous landscapes; however, limitations on the spatial and temporal resolution of satellite data, combined with the effects of cloud contamination, constrain the amount of detail that a single satellite can provide. In this study, we describe an application of a multi-sensor ET data fusion system over a mixed forested/agricultural landscape in North Carolina, USA, during the growing season of 2013. The fusion system ingests ET estimates from the Two-Source Energy Balance Model (TSEB) applied to thermal infrared remote sensing retrievals of land surface temperature from multiple satellite platforms: hourly geostationary satellite data at 4 km resolution, daily 1 km imagery from the Moderate Resolution Imaging Spectroradiometer (MODIS) and biweekly Landsat thermal data sharpened to 30 m. These multiple ET data streams are combined using the Spatial and Temporal Adaptive Reflectance Fusion Model (STARFM) to estimate daily ET at 30 m resolution to investigate seasonal water use behavior at the level of individual forest stands and land cover patches. A new method, also exploiting the STARFM algorithm, is used to fill gaps in the Landsat ET retrievals due to cloud cover and/or the scan-line corrector (SLC) failure on Landsat 7. The retrieved daily ET time series agree well with observations at two AmeriFlux eddy covariance flux tower sites in a managed pine plantation within the modeling domain: US-NC2 located in a mid-rotation (20-year-old) loblolly pine stand and US-NC3 located in a recently clear-cut and replanted field site. Root mean square errors (RMSEs) for NC2 and NC3 were 0.99 and 1.02 mm day −1 , respectively, with mean absolute errors of approximately 29 % at the daily time step, 12 % at the monthly time step and 0.7 % over the full study period at the two flux tower sites. Analyses of water use patterns over the plantation indicate increasing seasonal ET with stand age for young to mid-rotation stands up to 20 years, but little dependence on age for older stands. An accounting of consumptive water use by major land cover classes representative of the modeling domain is presented, as well as relative partitioning of ET between evaporation (E) and transpiration (T ) components obtained with the TSEB. The study provides new insights about the effects of management and land use change on water yield over forested landscapes.

show abstract

Evaluation of the global MODIS 30 arc-second spatially and temporally complete snow-free land surface albedo and reflectance anisotropy dataset

Cited by 48 publications

References 56 publications

Quantifying the effects of freeze-thaw transitions and snowpack melt on land surface albedo and energy exchange over Alaska and Western Canada

Quantifying the effects of freeze-thaw transitions and snowpack melt on land surface albedo and energy exchange over Alaska and Western Canada

Ozone balances in urban Saudi Arabia

Daily Landsat-scale evapotranspiration estimation over a forested landscape in North Carolina, USA, using multi-satellite data fusion

Contact Info

Product

Resources

About