A5024363557- Ocean Waves and Remote Sensing
- Oceanographic and Atmospheric Processes
- Soil Moisture and Remote Sensing
- Tropical and Extratropical Cyclones Research
- Arctic and Antarctic ice dynamics
- Meteorological Phenomena and Simulations
- Precipitation Measurement and Analysis
- Climate variability and models
- Underwater Acoustics Research
- Geophysics and Gravity Measurements
- Climate change and permafrost
- earthquake and tectonic studies
- Coastal and Marine Dynamics
- Geological and Geophysical Studies
- Geological and Geochemical Analysis
- Cryospheric studies and observations
- Geology and Paleoclimatology Research
- High-pressure geophysics and materials
- Atmospheric and Environmental Gas Dynamics
- Methane Hydrates and Related Phenomena
- Marine and coastal ecosystems
- Scientific Research and Discoveries
- Geological formations and processes
- Geochemistry and Geologic Mapping
- Marine animal studies overview
Jet Propulsion Laboratory
2015-2024
China Geological Survey
2021
ORCID
2021
California Institute of Technology
1997-2016
Chongqing Institute of Geology and Mineral Resources
1999-2010
Guangxi University
2010
Space Information Laboratories (United States)
1992
A new regional compilation of the drainage history in southeastern Tibet suggests that modern rivers draining plateau margin were once tributaries to a single, southward flowing system which drained into South China Sea. Disruption paleo‐drainage occurred by river capture and reversal prior or coeval with initiation Miocene (?) uplift eastern Tibet, including ∼2000 m surface lower since flow direction Yangtze River. Despite lateral changes course due reversal, superposition eastward cross...
High topography in central Asia is perhaps the most fundamental expression of Cenozoic Indo‐Asian collision, yet an understanding timing and rates development Tibetan Plateau remains elusive. Here we investigate thermal histories rocks along eastern margin plateau adjacent to Sichuan Basin effort determine when steep topographic escarpment that characterizes this developed. Temperature‐time paths inferred from 40 Ar/ 39 Ar thermochronology biotite, multiple diffusion domain modeling alkali...
We present and interpret Global Positioning System (GPS) measurements of crustal motions for the period 1991–1998 a network encompassing eastern part Tibetan Plateau its foreland. Relative to Eurasian frame defined by minimizing velocities 16 GPS stations in Europe, central Asia, Siberia, within all parts plateau foreland south China move 6–10 mm/yr east‐southeast, indicating that eastward movement is broader involves northern North plateau, northeastward at ∼10 mm/yr, boundary deformation...
In this paper, we introduce the combined active/passive (CAP) data product for Soil Moisture Active Passive mission. We develop algorithms a radiometer-only salinity product, radar-only vector wind and CAP product. show that performance of nears but is still inferior to Aquarius accuracy when aggregated on monthly timescale. Then, has reasonable away from nadir track while suffering inadequate measurement geometry in middle swath. Finally, demonstrate superior individual provides vectors...
Field work and topography analysis show that remnant, local areas of a low‐relief landscape or erosion surfaces are geographically continuous across the southeastern Tibetan Plateau margin. We correlate these remnant as paleolandscape formed at low elevation. Remnants this preserved because incision fluvial system has been largely limited to major rivers principal tributaries not yet progressed throughout entire network. The incomplete adjustment signals initiation rapid bedrock into...
Abstract Remote sensing of salinity using satellite-mounted microwave radiometers provides new perspectives for studying ocean dynamics and the global hydrological cycle. Calibration validation these measurements is challenging because satellite in situ methods measure differently. Microwave top few centimeters ocean, whereas most observations are reported below a depth meters. Additionally, satellites as spatial average over an area about 100 × km2. In contrast, sensors provide pointwise at...
The L-band passive and active microwave geophysical model functions (GMFs) of ocean surface winds from the Aquarius data are derived. matchups with Special Sensor Microwave Imager (SSM/I) National Centers for Environmental Prediction (NCEP) were performed binned as a function wind speed direction. radar HH GMF is in good agreement PALSAR GMF. For speeds above 10 m·s <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">-1</sup> , backscatter shows...
Research Article| March 01, 2000 Neotectonics of the Min Shan, China: Implications for mechanisms driving Quaternary deformation along eastern margin Tibetan Plateau Eric Kirby; Kirby 1Department Earth, Atmospheric, and Planetary Sciences, Massachusetts Institute Technology, Cambridge, 02139 Search other works by this author on: GSW Google Scholar Kelin X. Whipple; Whipple B. Clark Burchfiel; Burchfiel Wenqing Tang; Tang 2Chengdu Geology Mineral Resources, Chengdu, Sichuan Province, China...
The major differences between monthly‐mean ocean‐surface wind fields derived from the observations of National Aeronautics and Space Administration (NASA) Scatterometer (NSCAT) produced by operational numerical weather prediction (NWP) model European Center for Medium‐Range Weather Forecasts are found in coastal equatorial regions, where sharp changes smoothed over NWP products; these explained to be result superior spatial resolution NSCAT winds. Objective interpolation data alleviates...
To determine the accuracy of nearshore winds from QuikSCAT satellite, three satellite datasets (scientifically processed swath, gridded near-real-time, and science datasets) were compared to those 12 3 offshore U.S. West Coast buoys. Satellite observations August 1999 December 2000 that within 25 km 30 min each buoy used. Comparisons showed satellite–buoy wind differences near shore larger than offshore. Editing data by discarding recorded in rain light improved all datasets. After removing...
Abstract This paper describes the updated Combined Active‐Passive (CAP) retrieval algorithm for simultaneous of surface salinity and wind from Aquarius' brightness temperature radar backscatter. Unlike developed by Remote Sensing Systems (RSS), implemented in Aquarius Data Processing System (ADPS) to produce standard products, Jet Propulsion Laboratory's CAP does not require monthly climatology SSS maps retrieval. Furthermore, ADPS‐RSS fully uses National Center Environmental Predictions...
The L-band passive microwave data from the Soil Moisture Active Passive (SMAP) observatory are investigated for remote sensing of ocean surface winds during severe storms. Joaquin derived real-time analysis Center Advanced Data Assimilation and Predictability Techniques at Penn State support linear extrapolation Aquarius SMAP geophysical model functions (GMFs) to hurricane force winds. We apply GMFs retrieval wind vectors radiometer take advantage SMAP's two-look geometry. compared with...
Sea surface salinity (SSS) links various components of the Arctic freshwater system. SSS responds to inputs from river discharge, sea ice change, precipitation and evaporation, oceanic transport through open straits Pacific Atlantic oceans. However, in situ data Ocean are very sparse insufficient depict large-scale variability address critical question how climate change affect freshwater. The L-band microwave radiometer on board NASA Soil Moisture Active Passive (SMAP) mission has been...
Probability distribution and power density of wind speed over global oceans are computed from eight years QuikSCAT measurements. They describe the variation higher moments that critical in relating non‐linear effects on electric generation capability, shipping hazard, air‐sea exchanges heat, water, greenhouse gases. The confirms our general knowledge atmospheric circulation related to mid‐latitude storm tracks, trade winds, monsoons. It also reveals regions high associated with flow...
Abstract We validate sea surface salinity (SSS) retrieved from Aquarius instrument on SAC‐D satellite with in situ measurements by Argo floats and moored buoy arrays. assess the error structure of three SSS products: standard product processed Data Processing System (ADPS) two data sets produced at Jet Propulsion Laboratory (JPL): Combined Active‐Passive algorithm without rain correction, CAP CAP_RC, respectively. examine effect various filters to prevent unreliable point retrievals entering...
The distribution of water vapor in the atmosphere affects climate change through radiative balance and surface evaporation. variabilities atmospheric humidity profile over oceans from daily to interannual time scales were examined using nine years semidaily radiosonde soundings at island stations extending Arctic South Pacific. relative profiles found have considerable temporal geographic variabilities, contrary prevalent assumption. Principal component analysis on specific used examine...
The SeaWinds scatterometer onboard QuikSCAT covers approximately 90% of the global ocean under clear and cloudy condition in 24 h, standard data product has 25-km spatial resolution. Such resolution is not sufficient to resolve small-scale processes, especially coastal oceans. Based on range-compressed normalized backscatter a modified wind retrieval algorithm, dataset at 12.5-km was produced. Even with larger error, high-resolution winds, medium high strength, would still be useful over...
The two most promising methods of estimating precipitable water W over global oceans rely on spaceborne microwave radiometers and atmospheric general circulation models. Global fields from the special sensor imager (SSMI) were compared with those European Center for Medium Range Weather Forecasts (ECMWF) model. They agree ocean areas; both data sets capture annual cycles examined interannual anomalies during an El Niño‐Southern Oscillation episode. However, they show significant differences...
Traditional ways of validating satellite-derived sea surface temperature (SST) and salinity (SSS) products by comparing with buoy measurements, do not allow for evaluating the impact mesoscale-to-submesoscale variability. We present validation remotely sensed SST SSS data against unmanned vehicle (USV)—called Saildrone—measurements from 60 day 2018 Baja California campaign. More specifically, biases root mean square differences (RMSDs) were calculated between USV-derived values, six (MUR,...
The Arctic Ocean is one of the most important and challenging regions to observe—it experiences largest changes from climate warming, at same time difficult sample because sea ice extreme cold temperatures. Two NASA-sponsored deployments Saildrone vehicle provided a unique opportunity for validating sea-surface salinity (SSS) derived three separate products that use data Soil Moisture Active Passive (SMAP) satellite. To examine possible issues in resolving mesoscale-to-submesoscale...
Abstract Argo profiling floats and L‐band passive microwave remote sensing have significantly improved the global sampling of sea surface salinity (SSS) in past 15 years, allowing study range SSS seasonal variability using concurrent satellite situ platforms. Here, harmonic analysis was applied to four 0.25° products two 1° between 2016 2018 determine patterns. The World Ocean Atlas (WOA) version referenced help assess patterns from a long‐term perspective based on 3‐year period. results...