Monitoring Earth’s Climate System Nilton Montoya Introduction Current Weather and News Challenges of Forecasting Snow Remote Sensing by Satellite International Cooperation Modeling Earth’s Climate System For Next Class: Read Chapter 3 (pp. 67-80) UNIVERSIDAD NACIONAL DE SAN ANTONIO ABAD DEL CUSCO Proyecto de Investigación con fondos de canon: Recursos hídricos, glaciares e indicadores climáticos en la naciente del rio Vilcanota: Laguna de Sibinacocha y Nevado del Quisoquipina Nilton Montoya Jara Marzo del 2014 UBICACIÓN LÍNEAS DE TRABAJO DEL PROYECTO: Glaciología Climatología Hidrología Geología Hidrogeología CONSULTORÍAS EQUIPOS CONVENIOS TESISTAS LIDAR SENSORES HIDROMETRICOS RADAR DE PROFUNDIDAD IMÁGENES SATELITALES PLUVIOMETROS TOTALIZADORES MINAM SENAMHI IGP EGEMSA SENAMHI Estación Climática automática sobre el glaciar Quisoquipina - 5180 msnm Algunos resultados Radiación de onda larga y onda corta Temperatura del aire 15 de Diciembre del 2014 • AVANCES Compra del LIDAR Pluviómetros totalizadores • Muchas gracias por su atención February 2009 Bethel, NC Yes, it does snow in North Carolina! January 1977 Matney, NC Johnson, Southern Snow 100” mean annual snowfall at highest elevations and >24” from big storms at middle elevations Primary Storm Tracks Snowfall Forecasting Challenges Quantitative Precipitation Forecast (QPF): How much liquid equivalent precipitation will fall? Precipitation Type: What form will the precipitation take? Numerical models continue to have major challenges with QPF Depends on storm track, orographic effects, instability, etc. All snow? Snow and sleet? Snow, sleet, freezing rain? All freezing rain? Or some combination? Snow-to-Liquid Ratios (SLRs): What will the density of the snow be? Can be highly variable, from 5:1 (5” of snow out of 1” liquid) to higher than 40:1 (40” of snow out of 1” of snow) Higher SLRs for colder NW flow events, lower for warmer Gulf lows Freezing Rain Formation http://ww2010.atmos.uiuc.edu Ice Pellet (Sleet) Formation http://ww2010.atmos.uiuc.edu LIKELY. HOWEVER...MOISTURE IN THE DEFORMATION ZONE ON THE BACK SIDE OF THE COASTAL LOW WILL LEAD TO RENEWED LIFT AND CONTINUE TO BRING SOME ACCUMULATING SNOW TO THE REGION ON SATURDAY AS COLD AIR ADVECTION ELIMINATES THE WARM NOSE. TOTAL SNOW ACCUMULATIONS FOR THE ENTIRE EVENT THROUGH SATURDAY WILL LIKELY BE IN THE ONE TO TWO FOOT RANGE FROM THE MOUNTAINS OF NC UP THROUGH THE NRV/ROANOKE AND INTO SOUTHEAST WV AND THE ALLEGHANY HIGHLANDS. LESSER AMOUNTS WILL BE FOUND FURTHER TO THE WEST AND SOUTHEAST WHERE MIXED PRECIPITATION WILL KEEP ACCUMULATIONS DOWN...AND ICE ACCUMULATIONS UP TO ONE THIRD OF AN INCH ARE POSSIBLE ACROSS THE FOOTHILLS/PIEDMONT OF NC UP THROUGH SOUTHSIDE VA. Blacksburg VA NWS 2:30 AM Forecast Discussion Radiosonde Release in Peru https://www.youtube.com/watch?v=J_6iQkwF9KA Observing the Climate System Remote Sensing by Satellite • Sensors observing Earth from orbiting spacecraft measure selected wavelengths of the electromagnetic radiation reflected or emitted by the Earth’s climate system © AMS 31 Observing the Climate System Remote Sensing by Satellite • Electromagnetic radiation: both a form of energy and a means of energy transfer, travel as waves • Electromagnetic spectrum: composed of different forms of radiation © AMS 32 Observing the Climate System Remote Sensing by Satellite • Wavelength: distance between successive wave crests • Wave Frequency: number of crests that passes a given point in a specified period of time © AMS 33 Observing the Climate System Remote Sensing by Satellite • Satellites fly in either geostationary or polar orbits Geostationary orbit © AMS Polar orbit 34 Observing the Climate System Visible Satellite Image © AMS 35 Observing the Climate System Infrared Satellite Image © AMS 36 GOES Weather Satellites http://weather.rap.ucar.edu/satellite/ © AMS 37 International Cooperation in Understanding Earth’s Climate System Intergovernmental Panel on Climate Change (IPCC) • Formed in 1988 by the World Meteorological Organization (WMO) and the United Nations Environmental Programme (UNEP) • Evaluates the state of climate science • Composed of three working groups and a task force © AMS 38 Modeling Earth’s Climate System Model: an approximate representation or simulation of a real system, incorporating only the essential features of a system while omitting details considered non-essential or non-predictable © AMS 39 Modeling Earth’s Climate System Physical Model: small-scale portrayal of a system Numerical Model: consists of many mathematical equations that simulate the processes under study • Numerical weather and climate forecasting done at National Centers for Environmental Prediction (NCEP) © AMS 40 © AMS 41 Modeling Earth’s Climate System © AMS 42 Modeling Earth’s Climate System Short-Term Climate Forecasting • NCEP’s Climate Prediction Center • 30-day (monthly), 90-day (seasonal), and multi-seasonal climate outlooks prepared • Outlooks issued two weeks to 12.5 months in advance for the coterminous U.S., Hawaii, and other Pacific islands © AMS 43 Climate Prediction Center http://www.cpc.ncep.noaa.gov/products/forecasts/ Modeling Earth’s Climate System Long-Term Climate Forecasting • Global Climate Model (GCM): simulates Earth’s climate system Numerical models Boundary conditions can be changed to determine how Earth adjusts to new conditions © AMS 45