Processing data to understand climatology

Janel HanrahanLyndon State College, Atmospheric Sciences Department

Climatology as a discipline B.S. Atmospheric Sciences Rigorous curriculum (math and physics) Climatology and Statistics: two-semester sophomore-level

course Climatology is understood through statistics

www.ncdc.noaa.gov

Winter temperatures (2015-2016) Local temperature

anomalies Local climatology Baseline period

www.ncdc.noaa.gov

Winter temperatures (2015-2016) Local temperature

anomalies Local climatology Baseline period Local variabilities Standard deviations

www.ncdc.noaa.gov

Winter temperatures (2015-2016) Local temperature anomalies Local climatology Baseline period Local variabilities Standard deviations Global temperature anomalies Global climatology New baseline period

Use data processing to replicate plots

NetCDF NCEP-NCAR reanalysis data obtained from IRI/LDEO Climate Data Library (http://iridl.ldeo.columbia.edu/)

Use data processing to replicate plots

NetCDF NCEP-NCAR reanalysis data obtained from IRI/LDEO Climate Data Library (http://iridl.ldeo.columbia.edu/)

Use data processing to replicate plots

NetCDF NCEP-NCAR reanalysis data obtained from IRI/LDEO Climate Data Library (http://iridl.ldeo.columbia.edu/)