Lab News

Research News from Sam Shen’s Research Group

December 22, 2017: R Tutorial Product Release

This is a test version R Note tutorial for the R codes in the book entitled "Climate Mathematics with R" by Samuel S.P. Shen and Richard C.J. Somerville.

May 19, 2016: Research Product Release: TWP-ICE 20-second Fractal PWV data

Twenty-second high-resolution precipitable water vapor (PWV) data at Darwin, Australia during a 25-day period of 00:00 (UTC) January 20, 2006 to 24:00 (UTC) February 13, 2006 are now available for download:
TWPICE PWV observed data csv file (2 MB)
1,000-day SDE simulated data csv file (30 MB)

The U.S. Department of Energys Atmospheric Radiation Measurement (ARM) program conducted a Tropical Warm Pool - International Cloud Experiment (TWP-ICE) over 25 days from 20 January 2006 to 13 February 2006 in Darwin, Northern Australia. PWV was a TWP-ICE variable observed by a 2-channel ground based microwave radiometers (MWR). The ARM raw PWV data were supposed to be at nominal 20-second resolution, although the real datas resolution is fairly irregular. This release is the PWV data in cm on a regular 20-sec time grid interpolated by Leung et al. (2016) and Velado (2013). However, there are still many missing data, indicated by -1.

The 20-second high resolution PWV data have demonstrated fractal behavior with Hausdorff dimension larger than 1.0. This non-differentiability property called for modeling by stochastic differential equations (SDE) and Ito calculus, instead of conventional partial differential equations (PDE) models following classical calculus. This release thus includes a 1000-day SDE modeling output.

Users of this dataset should cite the following sources:

Leung, K., M. Velado, A. Subramanian, G.J. Zhang, R.C.J. Somerville, and S.S.P. Shen, 2016: Simulation of high-resolution precipitable water data using a stochastic differential equation with a random trigger, Advances in Adaptive Data Analysis, vol. 8, 13pp.

Velado, M., 2013: A feasibility study of a probabilistic approach to analyzing cloud properties such as floud fraction, liquid water path and precipitable water vapor, MS Thesis, San Diego State University, 87pp

Contact: Samuel Shen, Climate Informatics Lab, San Diego State University, Email: [email protected], Tel: 619-594-6280.

March 4, 2016: Research Product Release: 2.5 deg Monthly Global Precipitation since 1901

Monthly 2.5 deg lat-lon resolution global (excluding the polar regions north of 75N and south of 75S) precipitation data product: spectral optimal reconstruction of precipitation monthly (SOGPM1.0) from January 1901-December 2009. The data were reconstructed by the method of spectral optimal gridding for precipitation version 1.0 (SOGP 1.0) by using EOFs generated by the 2.5 monthly GPCP data and regression on the 2.5 deg gridded land station data of GPCC. SOGPM1.0 product data download: csv file (140 MB)

Users of this dataset should cite the following sources:

Shen, S.S.P., N. Tafolla, T.M. Smith, and P.A. Arkin, 2014: Multivariate regression reconstruction and its sampling error for the quasi-global annual precipitation from 1900-2011, J. Atmospheric Sciences, 71, 3250-3268.

Clarke, G.J., 2015: Hilbert-Huang Transform Applications and Computational Science Development for the Spectral Optimal Gridding of Precipitation. Master of Science Thesis, San Diego State University, USA, 227pp.

Contact: Samuel Shen, Climate Informatics Lab, San Diego State University, Email: [email protected], Tel: 619-594-6280.

December 29, 2015: Announcement of Important Applications of Climate Math Methods Developed by Sam Shen's group: ECCA as a standard national climate prediction tool

US Climate Prediction Center's operational 3-month climate outlook.

The ensemble canonical correlation analysis (ECCA) method was originally developed at NASA Goddard Space Flight Center by Samuel Shen, William Lau and their associates. The mathematical details are included in the 68-page NASA Technical Memorandum-2001-209989 by Shen et al. (2001). An application example was presented in a Geophysical Research Letters paper by the same authors (Lau et al. (2002)). The method was introduced to the US Climate Prediction Center by K.C. Mo

October 6, 2014: Research Product Release: SOGP 1.0

Global annual precipitation since 1900 reconstructed by spectral Optimal gridding for precipitation version 1.0 (SOGP 1.0).

The 5 deg annual (from July of the current year to June of next year) global (excluding the polar regions north of 75N and south of 75S) precipitation dataset from 1900-2011 can be downloaded: csv file (2 MB)

A movie produced from the data can be downloaded: Precipitation History Movie (13 MB)

Users of this dataset should cite the following source:

Shen, S.S.P., N. Tafolla, T.M. Smith, and P.A. Arkin, 2014: Multivariate regression reconstruction and its sampling error for the quasi-global annual precipitation from 1900-2011, J. Atmospheric Sciences, 71, 3250-3268.

Contact: Samuel Shen, Climate Informatics Lab, San Diego State University, Email: [email protected], Tel: 619-594-6280.

June 3, 2014: Research Product Release: Tibetan Plateau's Daily Snow Cover since 1997

An Animation of Tibetan Plateau snow cover-daily version 1.0 (TPSC Daily 1.0): February 4, 1997 - March 15, 2012.

A movie produced from the data can be downloaded: Tibetan Plateau Daily Snow Cover Movie (1997-2012) (34 MB)

Users of this dataset should cite the following source:

Shen, S.S.P., R. Yao, J. Ngo, A.M. Basist, N. Thomas, and T. Yao, 2014: Characteristics of Tibetan Plateau snow cover variations based on daily data during 1997-2011, Theor. Appl. Climatol., doi: 10.1007/s00704-014-1185-0.

Contact: Samuel Shen, Climate Informatics Lab, San Diego State University, Email: [email protected], Tel: 619-594-6280.

June 26, 2012: Award News

Canadian Applied and Industrial Mathematics Society awarded Sam Shen Arthur Beaumont Distinguished Service Award for his dedication, enthusiasm, involvement and vision as President of CAIMS from 2001-2003, which helped develop the organization into what it is today.

February 22, 2009: Research News

Nature made an official press release on Sam Shen and his student's work on Indonesia forest fires published in Nature-Geoscience. Many news media around the world, including New York Times, New Scientist, and Science Daily, followed the release and reported the research.

August 22, 2005: Research News Announcement

Alberta Agriculture, Food and Rural Development made a press release on Sam Shen's publication about the Alberta's agroclimate change from 1901 to 2002.

March 24, 2004: University of Alberta Express News

Sam Shen advises China on science policy. He is one of the ten overseas advisors to the Chinese Ministry of Science and Technology.

January 15, 2002: NASA Top Story

NASA Goddard Space Flight Centers top story: New method greatly improves the US seasonal forecasts. This quasi-linear method was developed by William Lau, Samuel Shen and Kyu-Meong Kim.

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