A5071382787- Remote Sensing in Agriculture
- Atmospheric and Environmental Gas Dynamics
- Climate variability and models
- Plant Water Relations and Carbon Dynamics
- Meteorological Phenomena and Simulations
- Land Use and Ecosystem Services
- Remote Sensing and LiDAR Applications
- Remote-Sensing Image Classification
- Calibration and Measurement Techniques
- Satellite Image Processing and Photogrammetry
- Atmospheric aerosols and clouds
- Remote Sensing and Land Use
- Geochemistry and Geologic Mapping
- Urban Heat Island Mitigation
- Atmospheric Ozone and Climate
- Precipitation Measurement and Analysis
- Atmospheric chemistry and aerosols
- Scientific Computing and Data Management
- Geophysics and Gravity Measurements
- Fire effects on ecosystems
- Advanced Image Fusion Techniques
- Solar Radiation and Photovoltaics
- Impact of Light on Environment and Health
- Species Distribution and Climate Change
- Big Data and Business Intelligence
California State University, Monterey Bay
2015-2024
Ames Research Center
2015-2024
Ningbo University
2023-2024
National Aeronautics and Space Administration
2013-2022
Boise State University
2022
Northeastern University
2022
Bay Area Environmental Research Institute
2022
Nanjing University of Posts and Telecommunications
2022
Charles River Laboratories (Netherlands)
2017
Zhejiang Sci-Tech University
2012
We describe the latest version of NASA Earth Exchange Global Daily Downscaled Projections (NEX-GDDP-CMIP6). The archive contains downscaled historical and future projections for 1950-2100 based on output from Phase 6 Climate Model Intercomparison Project (CMIP6). products were produced using a daily variant monthly bias correction/spatial disaggregation (BCSD) method are at 1/4-degree horizontal resolution. Currently, eight variables five CMIP6 experiments (historical, SSP126, SSP245,...
Abstract The authors establish the effect of urbanization on precipitation in Pearl River Delta China with data from an annual land use map (1988–96) derived Landsat images and monthly climate 16 local meteorological stations. A statistical analysis relationship between urban concentric buffers around stations indicates that there is a causal temporal spatial patterns to during dry season. Results suggest deficit which reduces precipitation. This reduction may be caused by changes surface...
Abstract Understanding the role of climate extremes and their impact on carbon (C) cycle is increasingly a focus Earth system science. Climate such as droughts, heat waves, or heavy precipitation events can cause substantial changes in terrestrial C fluxes. On other hand, extreme fluxes are often, but not always, driven by conditions. Here we present an analysis how temperature precipitation, related to each 10 state‐of‐the‐art models, all same forcing. We use model outputs from North...
The general circulation model (GCM) experiments conducted under the Coupled Model Intercomparison Project Phase 5 (CMIP5) [ Taylor et al ., 2012], which is being in preparation for Intergovernmental Panel on Climate Change's Fifth Assessment Report, provide fundamental data sets assessing effects of global climate change. However, efforts to assess regional or local projected changes are often impeded by coarse spatial resolution GCM outputs, as well potential biases outputs Fowler 2007].
Previous studies have highlighted the occurrence and intensity of El Niño-Southern Oscillation as important drivers interannual variability atmospheric CO2 growth rate, but underlying biogeophysical mechanisms governing such connections remain unclear. Here we show a strong persistent coupling (r(2) ≈ 0.50) between variations rate tropical land-surface air temperature during 1959 to 2011, with 1 °C anomaly leading 3.5 ± 0.6 Petagrams carbon per year (PgC/y) growth-rate on average. Analysis...
We examined natural and anthropogenic controls on terrestrial evapotranspiration (ET) changes from 1982 to 2010 using multiple estimates remote sensing-based datasets process-oriented land surface models. A significant increasing trend of ET in each hemisphere was consistently revealed by observationally-constrained data multi-model ensembles that considered historic drivers. The climate impacts were simulated determine the spatiotemporal variations ET. Globally, rising CO2 ranked second...
Abstract Assessing the seasonal patterns of Amazon rainforests has been difficult because paucity ground observations and persistent cloud cover over these forests obscuring optical remote sensing observations. Here, we use data from a new generation geostationary satellites that carry Advanced Baseline Imager (ABI) to study canopy. ABI is similar widely used polar orbiting sensor, Moderate Resolution Imaging Spectroradiometer (MODIS), but provides every 10–15 min. Our analysis NDVI...
Abstract Constraining an increase in global mean temperature below 2°C compared to pre‐industrial levels is critical limiting dangerous and cascading impacts of anthropogenic climate change. Understanding future climatic changes their spatial heterogeneity at warming thus important for policy makers prepare actionable adaptation mitigation plans by identifying where what extent lives livelihoods will be impacted. This study uses the recently released NASA Earth eXchange Global Daily...
Observations of planet Earth from space are a critical resource for science and society. Satellite measurements represent very large investments United States (US) agencies organize their effort to maximize the return on that investment. The US National Research Council conducts survey applications prioritize observations coming decade. most recent prioritized visible shortwave infrared imaging spectrometer multispectral thermal imager meet range needs studying Surface Biology Geology (SBG)....
Abstract Water use efficiency (WUE), defined as the ratio of gross primary productivity and evapotranspiration at ecosystem scale, is a critical variable linking carbon water cycles. Incorporating dependency on vapor pressure deficit, apparent underlying WUE (uWUE) provides better indicator how terrestrial ecosystems respond to environmental changes than other formulations. Here we used 20th century simulations from four biosphere models develop novel variance decomposition method. With this...
NASA has launched the decade-long Arctic-Boreal Vulnerability Experiment (ABoVE). While initial phases focus on field and airborne data collection, early integration with modeling activities is important to benefit future syntheses. We compiled feedback from ecosystem teams key needs, which encompass carbon biogeochemistry, vegetation, permafrost, hydrology, disturbance dynamics. A suite of variables was identified as part this activity a critical requirement that they are collected...
Accurate aerosol optical depth (AOD) with high temporal resolution is required for dynamic monitoring changes of properties. The Himawari-8 Advanced Himawari imager (AHI) data 10-min has been widely used AOD retrieval but usually involves radiative transfer models and assumptions on surface reflection properties that are hard to satisfy. This paper introduces a data-driven algorithm without any priori or called Time series Multi-wavelength by adapting Transformer (TMAT). TMAT directly...
Abstract The authors use the notion of Granger causality to investigate relationship between North Atlantic Oscillation (NAO) index and sea surface temperatures (SSTs) over Northern Hemisphere. analysis ensures that any apparent oceanic influence upon atmosphere (as measured by NAO) is provided ocean not related preexisting conditions within NAO itself (and vice versa when looking at atmospheric ocean). Although this statistical technique does imply physical forcing one field on other, it...
Near-nadir observations by the Multispectral Instrument (MSI) onboard Sentinel-2 and Operational Land Imager (OLI) Landsat 8 were collected during two Simultaneous Nadir Overpasses (SNO). images with 10, 20, 30 m resolution from a spatially uniform area in Saharan desert acquired for direct comparison of MSI OLI Top- Of-Atmosphere (TOA) reflectances. This paper presents an initial radiometric cross-calibration corresponding spectral bands sensors. With well-calibrated as reference, indicates...
Climate variability associated with the El Niño-Southern Oscillation (ENSO) and its consequent impacts on land carbon sink interannual have been used as a basis for investigating cycle responses to climate more broadly, inform sensitivity of tropical budget change. Past studies presented opposing views about whether temperature or precipitation is primary factor driving response ENSO. Here, we show that dominant driver varies ENSO phase. Whereas explains dynamics following Niño conditions...
GeoNEX is a collaborative project led by scientists from NASA, NOAA, and many other institutes around the world to generate Earth monitoring products using data streams latest Geostationary (GEO) sensors including GOES-16/17 Advanced Baseline Imager (ABI), Himawari-8/9 Himawari (AHI), more. An accurate consistent product of Top-Of-Atmosphere (TOA) reflectance brightness temperature starting point in scientific processing pipeline has significant influences on downstream products. This paper...
Abstract Global and regional projections of climate change by Earth system models are limited their uncertain estimates terrestrial ecosystem productivity. At the middle to low latitudes, East Asian monsoon region has higher productivity than forests in Europe‐Africa North America, but its estimate current generation biosphere (TBMs) seldom been systematically evaluated. Here, we developed a traceability framework evaluate simulated gross primary (GPP) 15 TBMs region. The links GPP net...
Abstract. Surface downward shortwave radiation (DSR) and photosynthetically active (PAR) play critical roles in the Earth's surface processes. As main inputs of various ecological, hydrological, carbon, solar photovoltaic models, increasing requirements for high-spatiotemporal-resolution DSR PAR estimation with high accuracy have been observed recent years. However, few existing products satisfy all these requirements. This study employed a well-established physical-based lookup table (LUT)...
Abstract Feedbacks of vegetation on summertime climate variability over the North American Grasslands are analyzed using statistical technique Granger causality. Results indicate that normalized difference index (NDVI) anomalies early in growing season have a statistically measurable effect precipitation and surface temperature later summer. In particular, higher means and/or decreasing trends NDVI tend to be followed by lower rainfall but temperatures during July through September. These...
We conducted an ensemble modeling exercise using the Terrestrial Observation and Prediction System (TOPS) to evaluate sources of uncertainty in carbon flux estimates resulting from structural differences among ecosystem models. The experiment ran public-domain versions biome-bgc, lpj, casa, tops-bgc over North America at 8 km resolution for period 1982–2006. developed Hierarchical Framework Diagnosing Ecosystem Models (HFDEM) separate simulated biogeochemistry into a cascade three functional...