Christman Field Latest Observations
Date Time
MST
Temp
°F
RH
%
DewPt
°F
Wind
mph
Dir
°
Gust
mph
Dir
°
Press
in Hg
Solar
W/m^2
Prec
in
2019-11-12 06:50 7.2 88.2 4.5 1.1 220 2.8 195 24.989 7.0 0.00
2019-11-12 06:45 9.7 84.6 6.0 1.1 194 3.6 289 24.991 5.2 0.00
2019-11-12 06:40 10.9 90.4 8.6 2.9 141 4.3 144 24.992 3.4 0.00
2019-11-12 06:35 10.1 91.6 8.1 2.8 133 4.6 137 24.995 1.9 0.00
2019-11-12 06:30 10.3 90.3 8.0 3.2 114 4.2 133 24.996 0.8 0.00
2019-11-12 06:25 11.0 89.2 8.4 2.7 144 4.2 151 24.998 0.3 0.00
2019-11-12 06:20 11.0 91.4 9.0 4.6 151 6.0 173 24.995 0.0 0.00
2019-11-12 06:15 10.5 90.1 8.2 5.3 173 6.3 173 24.992 0.0 0.00
2019-11-12 06:10 10.7 91.2 8.6 5.2 164 6.5 161 24.993 0.0 0.00
2019-11-12 06:05 10.0 90.4 7.7 3.8 158 5.9 160 24.991 0.0 0.00
2019-11-12 06:00 9.8 88.6 7.2 0.7 166 3.2 166 24.991 0.0 0.00
2019-11-12 05:55 10.1 89.3 7.6 0.3 240 1.7 333 24.992 0.0 0.00
2019-11-12 05:50 11.6 86.3 8.3 0.7 352 2.1 352 24.993 0.0 0.00
2019-11-12 05:45 13.2 88.8 10.5 0.5 352 1.5 352 24.994 0.0 0.00
2019-11-12 05:40 13.0 92.0 11.1 0.5 352 1.6 351 24.995 0.0 0.00
2019-11-12 05:35 11.9 92.8 10.2 1.1 351 2.5 352 24.995 0.0 0.00
2019-11-12 05:30 9.8 91.6 7.9 3.1 352 4.5 340 24.996 0.0 0.00
2019-11-12 05:25 8.8 89.4 6.3 3.2 340 3.8 348 24.996 0.0 0.00
2019-11-12 05:20 11.5 84.2 7.6 3.2 5 4.2 5 24.999 0.0 0.00
2019-11-12 05:15 12.1 92.6 10.3 0.3 323 2.1 322 24.999 0.0 0.00
2019-11-12 05:10 10.8 93.8 9.4 0.2 236 1.8 236 25.002 0.0 0.00
2019-11-12 05:05 10.5 93.0 8.9 0.5 290 1.1 290 25.006 0.0 0.00
2019-11-12 05:00 9.2 91.8 7.3 1.2 290 2.0 290 25.012 0.0 0.00
2019-11-12 04:55 8.9 90.4 6.6 2.2 290 4.6 296 25.015 0.0 0.00
2019-11-12 04:50 8.2 92.4 6.5 1.3 295 4.9 299 25.017 0.0 0.00
2019-11-12 04:45 6.3 89.2 3.8 0.5 168 1.7 168 25.020 0.0 0.00
2019-11-12 04:40 7.5 87.4 4.5 1.1 168 2.0 168 25.021 0.0 0.00
2019-11-12 04:35 8.1 88.4 5.3 1.9 105 3.5 25 25.023 0.0 0.00
2019-11-12 04:30 9.4 87.4 6.4 1.2 25 3.0 25 25.024 0.0 0.00
2019-11-12 04:25 10.2 91.8 8.3 0.7 171 1.6 171 25.021 0.0 0.00
CIRA

Cooperative Institute for Research in the Atmosphere

Shi, Wei

Dr. Wei Shi

Job Title:
Research Scientist/Scholar III
Phone Number:

301-763-8102 x193

Fax Number:

301-763-8020

Mailing Addresss:
Dr. Wei Shi

Cooperative Institute for Research in the Atmosphere

Colorado State University

1375 Campus Delivery

Fort Collins, CO 80523-1375
About Me:

Dr. Wei Shi received the B.E. degree from Ocean University of Qingdao, P. R. China, in ocean engineering, in 1988, the M.S. degree in 1998, and Ph.D. degree in 2002, both in physical oceanography from North Carolina State University, Raleigh, NC. In 1999, he was awarded 3-year NASA Earth System Science Fellowship with the research on “Water, Heat and Salt Budgets in the Indian Ocean”. Before he focused his research on ocean color in 2004, he first-authored 5 peer-reviewed publications, covering the research from basin-wide ocean process study to mesoscale atmospheric processes, ocean processes and ecosystem processes and their interactions using satellite remote sensing and in-situ measurements. His research experience includes algorithm development and application of ocean color remote sensing, calibration and validation of ocean color retrievals, satellite altimetry, regional and global study of ocean processes with multiple satellite remote sensors.

 

From 2002 to 2004, he was an employee of System Engineering and Security, Inc. (SES) working as scientist/analyst at NOAA/NESDIS. During the period of May – August of 2004, he worked at NASA MODIS characterization Support Team (MCST), affiliated with GSO/Science Applications International Corporation (SAIC). He joined the JCET (Joint Center for Earth Systems Technology) of University of Maryland, Baltimore County as research associate in September of 2004, first working at NASA GSFC Ocean Biology Processing Group (OBPG), and then working at Center for Research and Application (STAR) of NOAA NESDIS. He is currently with the Cooperative Institute for Research in Atmosphere (CIRA) of Colorado State University, and working in Center for Research and Application (STAR) of NOAA National Environmental Satellite Data, and Information Service (NESDIS), Camp Springs, MD.

    Publications

    VIIRS ocean color products over global open oceans and turbid coastal/inland waters

    Published Date: 2017
    Published By: Conference

    VIIRS ocean color products over global open oceans and turbid coastal/inland waters

    Published Date: 2018
    Published By: Conference

    VIIRS Mission-long ocean color data reprocessing and demonstration of global ocean color data monitoring tool

    Published Date: 2017
    Published By: Conference

    Deriving Total Suspended Matter Concentration from the Near-Infrared-Based Inherent Optical Properties over Turbid Waters: A Case Study in Lake Taihu

    Published Date: 2018
    Published By: Geoscientific Model Development

    Ocean Dynamics Observed by VIIRS Day/Night Band Satellite Observations

    Published Date: 2018
    Published By: Remote Sensing

    Characterization of Particle Backscattering of Global Highly Turbid Waters From VIIRS Ocean Color Observations

    Published Date: 2017
    Published By: Journal of Geophysical Research

    Ocean reflectance spectra at the red, near-infrared, and shortwave infrared from highly turbid waters: A study in the Bohai Sea, Yellow Sea, and East China Sea

    Published Date: 2014
    Published By: Limnology and Oceanography
    Normalized water-leaving radiance spectra nLw(λ) at the red, near-infrared (NIR), and shortwave infrared (SWIR) are quantified and characterized in highly turbid waters of the western Pacific using 3 yr (2009–2011) observations from the Moderate Resolution Imaging Spectroradiometer on the satellite Aqua. nLw(645; red), nLw(859; NIR), and nLw(1240; SWIR) were higher in the coastal region and river estuaries, with SWIR nLw(1240) reaching up to ∼ 0.2 mW cm−2 µm−1 sr−1 in Hangzhou Bay during winter. The NIR ocean-reflectance spectral shape represented by the ratio of the normalized water-leaving reflectance ρwN(λ) at the two NIR bands ρwN(748) : ρwN(869) is highly dynamic and region-dependent. The NIR spectral feature associated with the sediment source from the Yellow River and Ancient Yellow River is noticeably different from that of the Yangtze River. There are non-negligible SWIR nLw(1240) contributions for waters with the NIR nLw(859) > ∼ 2.5 mW cm−2 µm−1 sr−1. Estimation of the NIR ocean reflectance with iterative approaches might only be accurate for turbid waters with nLw(859) < ∼ 1.5 mW cm−2 µm−1 sr−1. Thus, the SWIR atmospherics correction algorithm for satellite ocean-color data processing is indispensable to derive accurate nLw(λ) for highly turbid waters. Current existing satellite algorithms for chlorophyll a, diffuse attenuation coefficient at the wavelength of 490 nm (Kd(490)), total suspended matter, and inherent optical properties (IOPs) using nLw(λ) at the red band for coastal waters are limited and can only be applied to turbid waters with nLw(859) < ∼ 1.5 mW cm−2 µm−1 sr−1. Thus, the NIR nLw(λ) measurements are required to characterize water properties for highly turbid waters. Based on the fact that pure water absorption is significantly larger than other absorption components in the NIR wavelengths, we show that it is feasible to analytically derive accurate IOP data for turbid waters with combined satellite-measured visible-NIR nLw(λ) spectra data.