BSRN Station Sonnblick

Size: px
Start display at page:

Download "BSRN Station Sonnblick"

Transcription

1 Spawning the Atmosphere Measurements, Jan 2014, Bern BSRN Station Sonnblick Baseline surface radiation network station Sonnblick Marc Olefs, Wolfgang Schöner ZAMG Central Institute for Meteorology and Geodynamics, Vienna, Austria.

2 Spawning the Atmosphere Measurements 2014 Bern What s the motivation for radiation monitoring at Sonnblick? Radiation concerns everybody! (directly or indirectly) Sun = Main driver for changes in the earth s climate Basic research (climate): high quality, longterm measurements needed for trend analysis and to improve process understanding (e.g. why does the air temperature show a decreasing trend or in general anthropogenic influences vs. natural changes, ) Applied research: Validation/calibration of models and satellite data (Meteorological for- and nowcasting models, (regional) climate models, energy balance (e.g. snow cover), micro-meteorology, dispersion modeling, solar energy, ) Legal task national weather service (ZAMG): Constant monitoring of climate and its changes using state-of-the-art methods

3 C Abweichungen vom Mittel des 20.Jahrhunderts Spawning the Atmosphere Measurements 2014 Bern solar + Vulkanismus 3 GHGs Temperature anomaly NH since 1850: Main drivers: changes in short- & longwave radiation Sulfat Time-series of measured global radiation Station Wien Hohe Warte Dimming Brightening Monitoring changes in radiation is very important for climate monitoring as radiation is very high up in the process chain!

4 Spawning the Atmosphere Measurements 2014 Bern Where is the Sonnblick Observatory? Summit of Hoher Sonnblick at 47 03'14.9''N ; 12 57'27.2''E and 3106 m a.s.l. Austrian province of Salzburg Alpine main ridge DEM BEV 2012 Photo: G. Weyss

5 Spawning the Atmosphere Measurements 2014 Bern Suntracker 2 AP operational since Jan 2011 (ZAMG): Global, diffuse and direct radiation, longwave incoming (2 x CMP21, 1 x CHP 1, 1 x CGR 4), Heating/Ventilation device PMOD Davos until April 2012, Eigenbrodt since then, Heating Power: 25 W Local horizon S N

6

7 Measurement principle & technical aspects K&Z CMP Manual CMP21 CGR4 CHP1 Pyranometer (shortwave global and diffuse radiation): Radiation from the upper hemisphere heats a black coated receiver surface (thermopile) beneath a glas dome voltage output proportional to radiation intensity (around 8-14 μv/wm -2 ) Active measurement device Glas dome defines spectral range (& reduces zero-offset ) Sensitivity of thermopile unique -> Each sensor needs calibration factor Important: low temperature gradient between instrument body and dome Heating/Ventilation device reduces: Temp. gradient, solid and liquid deposition on sensor surface

8 Integration in national / international networks: National: Austrian radiation measurement network (ARAD) Cooperation with Universities (Innsbruck, Graz, Vienna) 5 Stations: Wien (198 m a.s.l.) Graz (400 m a.s.l.) Innsbruck (580 m a.s.l.) Kanzelhöhe (candidate, 1520 m a.s.l.) Sonnblick (3109 m a.s.l.) Methods and standards following BSRN criteria Data since summer 2011 (GLO, DIFF, DIR, LWIN)

9 Integration in national / international networks: Baseline surface radiation network (BSRN): GEWEX/WCRP project with currently 57 worldwide stations Aim: To detect important changes in surface radiation budget Data of primary importance for satellite and computer model estimates

10 BSRN requirements and data quality assurance procedure at Sonnblick BSRN = state of the art +, consistently highest worldwide measurements standards for radiation monitoring (sensors, calibration, data acquisition system, maintenance, quality control) Daily maintenance (2 observers, 24 h on duty) following BSRN guidelines (cleaning, leveling, ventilation, de-riming, ), daily report via web External maintenance if required (mechanics, calibration, special problems) Daily automatic control algorithms/report and manual data quality control and flag setting in database. >50 criteria (Long and Shi, 2008 ; own criterias) Hourly automatic check of most critical parameters, in case of fail -> ALARM via Realtime data visualization tool

11 Interactive realtime graphs (amcharts.com) Daily report

12 What about the quality of the radiation data at Sonnblick? Flag-Statistik GLO (Relativ %) Flag Wien Graz Innsbruck Sonnblick Korrekt (1) Falsch (2) Zweifelhaft (3) Fehlwerte (255) Summe Flag-Statistik LWO (Relativ %) Flag Wien Graz Innsbruck Sonnblick Korrekt (1) Falsch (2) Zweifelhaft (3) Fehlwerte (255) Summe Flag Statistik GLO&HIM&DIR&LWO (Relativ %) Flag Wien Graz Innsbruck Sonnblick Korrekt (1) Falsch (2) Zweifelhaft (3) Fehlwerte (255) Yield of good data: 60 % Sonnblick, (>90% lower stations)

13 Whats is the main problem for the data quality at Sonnblick? Hoarfrost!

14 Special modifications Sonnblick Icing/Rime Original inlet of heating/ventilation unit (grid) beneath the sensor platform Lead to reduced airflow and thus to ice formation around glas domes Measurment errors Difference GLO vs. Diff. SOLUTION!

15 diffuse rad. (rel. Intensity) Motivation Radiation Sonnblick Measured radiation data Sunshine duration: 1887-present Cloudiness: 1887-present Global radiation: 1957-present Diffuse radiation: 1970-present UV & total ozon: 1994-present Suntracker: since min. vals since 1970 Global radiation in Austria Annual sums Seasonal sums Olefs and Schöner, 2011 Weak vertical gradients In summertime (convective cloudiness) Dirmhirn, 1951 Cloudiness

16 Wien Hohe Warte (198 m a.s.l.) GLO HIM DIR_hori LWO Sonnblick (3105 m a.s.l.) Absolute Minima and Maxima are given for 1 minute means

17 SLR Webcam Sonnblick (

18 Temporal changes of radiation climate et Sonnblick Sunshine duration & global radiation: decrease after : increase 2007-today: decreasing tendency Sunshine duration and global radiation do not have always the same course. Especially not at Sonnblick! Why?

19 A typical aspect of the radiation climate at Sonnblick: high temporal variability and frequent Multiple/terrain reflections (GLO or DIFF values > top of the atmosphere solar radiation). -> GLO values can be very high without direct sunshine!

20 Data use / Dissemination of radiation data at Sonnblick Freely available for scientific community in general: Upload to BSRN data archive in monthly packages since Jan ECMWF: improvement of NWP models: operational validation of radiation fluxes (T.Haiden) ZAMG: data quality cross check for other meteorological variables (e.g. sunshine duration) ZAMG: calibration and validation of solar radiation, energy balance-, for- and nowcasting models ZAMG & universities: academic and scientific work with the data (teaching, thesis, ) ZAMG: Legal task of state of the art climate monitoring (as national weather service) ARAD Paper planned for 2014

21 Data use / Dissemination of radiation data at Sonnblick (EXAMPLES) Calibration and validation of the operational solar radiation model STRAHLGRID at ZAMG Calibration of MSG-2 cloudtypes against measured DIFF data for parameterization of cloudiness Effects in the model

22 Data use / Dissemination of radiation data at Sonnblick (EXAMPLES) Calibration and validation of the energy fluxes operational snow cover model SNOWGRID at ZAMG (in development) Longwave incoming radiation Calculated and observed snow extent

23 Data use / Dissemination of radiation data at Sonnblick (EXAMPLES) improvement of NWP models: operational validation of radiation fluxes (T.Haiden) Verification of ECMWF short-range (+24 h) forecasts of daily averages of the downward solar (top) and longwave (bottom) flux at the surface. Monthly values of mean error (bias) shown in blue, error standard deviation in red. Dashed curves show corrected bias (gradient of -3 W/m² per 100 m (Marty et al. 2002)). (Courtesy of Thomas Haiden, ECMWF)

24 TAKE HOME POINTS 1 In order to best understand the climate system and its processes it is key to monitor solar and longwave radiation as long and as acccurate as possible. 2 A high effort is needed in order to aquire high quality radiation data at such an extreme site 3 Selected sites as the Sonnblick with a special (radiation) climate are essential to properly calibrate and validate models and satellite data as high altitude measurements are rare. 4 High quality radiation data from Sonnblick is used for a waste variety of applications, from fundamental climate research to applied problems.

25 Thank you very much for your attention! Questions?

Solar Radiation Measurement. Bruce W Forgan, WMO RAV Metrology Workshop, Melbourne, Novemberr 2011

Solar Radiation Measurement. Bruce W Forgan, WMO RAV Metrology Workshop, Melbourne, Novemberr 2011 Solar Radiation Measurement Bruce W Forgan, WMO RAV Metrology Workshop, Melbourne, Novemberr 2011 Why Do We Need Data on Solar Energy? Global Climate System Climate Energy Balance Solar Exposure and Irradiance

More information

Permafrost monitoring at Mölltaler Glacier and Magnetköpfl

Permafrost monitoring at Mölltaler Glacier and Magnetköpfl Permafrost monitoring at Mölltaler Glacier and Magnetköpfl DAVID OTTOWITZ 1, BIRGIT JOCHUM 1, ROBERT SUPPER 1, ALEXANDER RÖMER 1, STEFAN PFEILER 1 and MARKUS KEUSCHNIG 2, 3 1 Department of Geophysics,

More information

A system of direct radiation forecasting based on numerical weather predictions, satellite image and machine learning.

A system of direct radiation forecasting based on numerical weather predictions, satellite image and machine learning. A system of direct radiation forecasting based on numerical weather predictions, satellite image and machine learning. 31st Annual International Symposium on Forecasting Lourdes Ramírez Santigosa Martín

More information

SOLAR IRRADIANCE FORECASTING, BENCHMARKING of DIFFERENT TECHNIQUES and APPLICATIONS of ENERGY METEOROLOGY

SOLAR IRRADIANCE FORECASTING, BENCHMARKING of DIFFERENT TECHNIQUES and APPLICATIONS of ENERGY METEOROLOGY SOLAR IRRADIANCE FORECASTING, BENCHMARKING of DIFFERENT TECHNIQUES and APPLICATIONS of ENERGY METEOROLOGY Wolfgang Traunmüller 1 * and Gerald Steinmaurer 2 1 BLUE SKY Wetteranalysen, 4800 Attnang-Puchheim,

More information

ATM S 111, Global Warming: Understanding the Forecast

ATM S 111, Global Warming: Understanding the Forecast ATM S 111, Global Warming: Understanding the Forecast DARGAN M. W. FRIERSON DEPARTMENT OF ATMOSPHERIC SCIENCES DAY 1: OCTOBER 1, 2015 Outline How exactly the Sun heats the Earth How strong? Important concept

More information

Osamu Ijima. Radiation Section, Atmospheric Environment Division, Global Environment and Marine Department, Japan Meteorological Agency (JMA)

Osamu Ijima. Radiation Section, Atmospheric Environment Division, Global Environment and Marine Department, Japan Meteorological Agency (JMA) Osamu Ijima Radiation Section, Atmospheric Environment Division, Global Environment and Marine Department, Japan Meteorological Agency (JMA) Oct. 2010, IPC-XI, Davos, Switzerland 1 RRC Regional Association

More information

Solar Energy Forecasting Using Numerical Weather Prediction (NWP) Models. Patrick Mathiesen, Sanyo Fellow, UCSD Jan Kleissl, UCSD

Solar Energy Forecasting Using Numerical Weather Prediction (NWP) Models. Patrick Mathiesen, Sanyo Fellow, UCSD Jan Kleissl, UCSD Solar Energy Forecasting Using Numerical Weather Prediction (NWP) Models Patrick Mathiesen, Sanyo Fellow, UCSD Jan Kleissl, UCSD Solar Radiation Reaching the Surface Incoming solar radiation can be reflected,

More information

Developing Continuous SCM/CRM Forcing Using NWP Products Constrained by ARM Observations

Developing Continuous SCM/CRM Forcing Using NWP Products Constrained by ARM Observations Developing Continuous SCM/CRM Forcing Using NWP Products Constrained by ARM Observations S. C. Xie, R. T. Cederwall, and J. J. Yio Lawrence Livermore National Laboratory Livermore, California M. H. Zhang

More information

The Next Generation Flux Analysis: Adding Clear-Sky LW and LW Cloud Effects, Cloud Optical Depths, and Improved Sky Cover Estimates

The Next Generation Flux Analysis: Adding Clear-Sky LW and LW Cloud Effects, Cloud Optical Depths, and Improved Sky Cover Estimates The Next Generation Flux Analysis: Adding Clear-Sky LW and LW Cloud Effects, Cloud Optical Depths, and Improved Sky Cover Estimates C. N. Long Pacific Northwest National Laboratory Richland, Washington

More information

Solar Irradiance Variability

Solar Irradiance Variability Solar Radiative Output and its Variability Claus Frölich and Judith Lean Preethi Ganapathy November 22, 2005 Solar Irradiance Variability Historical Investigations Contemporary Investigations Limitations

More information

How does snow melt? Principles of snow melt. Energy balance. GEO4430 snow hydrology 21.03.2006. Energy flux onto a unit surface:

How does snow melt? Principles of snow melt. Energy balance. GEO4430 snow hydrology 21.03.2006. Energy flux onto a unit surface: Principles of snow melt How does snow melt? We need energy to melt snow/ ice. GEO443 snow hydrology 21.3.26 E = m L h we s K = ρ h = w w we f E ρ L L f f Thomas V. Schuler t.v.schuler@geo.uio.no E energy

More information

Final report on RAD service chain evolution

Final report on RAD service chain evolution MACC-II Deliverable D_122.5 Final report on RAD service chain evolution Date: 07/2014 Lead Beneficiary: DLR (#11) Nature: R Dissemination level: PP Grant agreement n 283576 2 / 9 Table of Contents 1. Hardware

More information

ECMWF Aerosol and Cloud Detection Software. User Guide. version 1.2 20/01/2015. Reima Eresmaa ECMWF

ECMWF Aerosol and Cloud Detection Software. User Guide. version 1.2 20/01/2015. Reima Eresmaa ECMWF ECMWF Aerosol and Cloud User Guide version 1.2 20/01/2015 Reima Eresmaa ECMWF This documentation was developed within the context of the EUMETSAT Satellite Application Facility on Numerical Weather Prediction

More information

Overview of the IR channels and their applications

Overview of the IR channels and their applications Ján Kaňák Slovak Hydrometeorological Institute Jan.kanak@shmu.sk Overview of the IR channels and their applications EUMeTrain, 14 June 2011 Ján Kaňák, SHMÚ 1 Basics in satellite Infrared image interpretation

More information

Clouds and the Energy Cycle

Clouds and the Energy Cycle August 1999 NF-207 The Earth Science Enterprise Series These articles discuss Earth's many dynamic processes and their interactions Clouds and the Energy Cycle he study of clouds, where they occur, and

More information

Solar Irradiance Forecasting Using Multi-layer Cloud Tracking and Numerical Weather Prediction

Solar Irradiance Forecasting Using Multi-layer Cloud Tracking and Numerical Weather Prediction Solar Irradiance Forecasting Using Multi-layer Cloud Tracking and Numerical Weather Prediction Jin Xu, Shinjae Yoo, Dantong Yu, Dong Huang, John Heiser, Paul Kalb Solar Energy Abundant, clean, and secure

More information

AOSC 621 Lesson 15 Radiative Heating/Cooling

AOSC 621 Lesson 15 Radiative Heating/Cooling AOSC 621 Lesson 15 Radiative Heating/Cooling Effect of radiation on clouds: fog 2 Clear-sky cooling/heating rate: longwave CO2 O3 H2O 3 Clear-sky heating rate: shortwave Standard atmosphere Heating due

More information

The Surface Energy Budget

The Surface Energy Budget The Surface Energy Budget The radiation (R) budget Shortwave (solar) Radiation Longwave Radiation R SW R SW α α = surface albedo R LW εσt 4 ε = emissivity σ = Stefan-Boltzman constant T = temperature Subsurface

More information

Fundamentals of Climate Change (PCC 587): Water Vapor

Fundamentals of Climate Change (PCC 587): Water Vapor Fundamentals of Climate Change (PCC 587): Water Vapor DARGAN M. W. FRIERSON UNIVERSITY OF WASHINGTON, DEPARTMENT OF ATMOSPHERIC SCIENCES DAY 2: 9/30/13 Water Water is a remarkable molecule Water vapor

More information

Comparison of different methods for the determination of sunshine duration

Comparison of different methods for the determination of sunshine duration Scientific report; WR 2006-06 Comparison of different methods for the determination of sunshine duration Yvonne B.L. Hinssen De Bilt, 2006 Scientific report = wetenschappelijk rapport; WR 2006-06 De Bilt,

More information

GCOS science conference, 2 Mar. 2016, Amsterdam. Japan Meteorological Agency (JMA)

GCOS science conference, 2 Mar. 2016, Amsterdam. Japan Meteorological Agency (JMA) GCOS science conference, 2 Mar. 2016, Amsterdam Status of Surface Radiation Budget Observation for Climate Nozomu Ohkawara Japan Meteorological Agency (JMA) Contents 1. Background 2. Status t of surface

More information

Proposals of Summer Placement Programme 2015

Proposals of Summer Placement Programme 2015 Proposals of Summer Placement Programme 2015 Division Project Title Job description Subject and year of study required A2 Impact of dual-polarization Doppler radar data on Mathematics or short-term related

More information

REDUCING UNCERTAINTY IN SOLAR ENERGY ESTIMATES

REDUCING UNCERTAINTY IN SOLAR ENERGY ESTIMATES REDUCING UNCERTAINTY IN SOLAR ENERGY ESTIMATES Mitigating Energy Risk through On-Site Monitoring Marie Schnitzer, Vice President of Consulting Services Christopher Thuman, Senior Meteorologist Peter Johnson,

More information

meteonorm Global Meteorological Database

meteonorm Global Meteorological Database meteonorm Global Meteorological Database Version 7 Software and Data for Engineers, Planners and Education The Meteorological Reference for Solar Energy Applications, Building Design, Heating & Cooling

More information

Chapter 2: Solar Radiation and Seasons

Chapter 2: Solar Radiation and Seasons Chapter 2: Solar Radiation and Seasons Spectrum of Radiation Intensity and Peak Wavelength of Radiation Solar (shortwave) Radiation Terrestrial (longwave) Radiations How to Change Air Temperature? Add

More information

Can latent heat release have a negative effect on polar low intensity?

Can latent heat release have a negative effect on polar low intensity? Can latent heat release have a negative effect on polar low intensity? Ivan Føre, Jon Egill Kristjansson, Erik W. Kolstad, Thomas J. Bracegirdle and Øyvind Sætra Polar lows: are intense mesoscale cyclones

More information

Data Integration and long-term planning of the Observing Systems as a cross-cutting process in a NMS

Data Integration and long-term planning of the Observing Systems as a cross-cutting process in a NMS Data Integration and long-term planning of the Observing Systems as a cross-cutting process in a NMS ECAC Zurich, Setpember 15 2020 Ch. Häberli Deputy Head Climate Division/Head Meteorological Data Coordination

More information

Cloud seeding. Frequently Asked Questions. What are clouds and how are they formed? How do we know cloud seeding works in Tasmania?

Cloud seeding. Frequently Asked Questions. What are clouds and how are they formed? How do we know cloud seeding works in Tasmania? What are clouds and how are they formed? Clouds are composed of water droplets and sometimes ice crystals. Clouds form when air that is rich in moisture near the Earth s surface rises higher into the atmosphere,

More information

Seasonal & Daily Temperatures. Seasons & Sun's Distance. Solstice & Equinox. Seasons & Solar Intensity

Seasonal & Daily Temperatures. Seasons & Sun's Distance. Solstice & Equinox. Seasons & Solar Intensity Seasonal & Daily Temperatures Seasons & Sun's Distance The role of Earth's tilt, revolution, & rotation in causing spatial, seasonal, & daily temperature variations Please read Chapter 3 in Ahrens Figure

More information

Global Seasonal Phase Lag between Solar Heating and Surface Temperature

Global Seasonal Phase Lag between Solar Heating and Surface Temperature Global Seasonal Phase Lag between Solar Heating and Surface Temperature Summer REU Program Professor Tom Witten By Abstract There is a seasonal phase lag between solar heating from the sun and the surface

More information

Partnership to Improve Solar Power Forecasting

Partnership to Improve Solar Power Forecasting Partnership to Improve Solar Power Forecasting Venue: EUPVSEC, Paris France Presenter: Dr. Manajit Sengupta Date: October 1 st 2013 NREL is a national laboratory of the U.S. Department of Energy, Office

More information

Radiative effects of clouds, ice sheet and sea ice in the Antarctic

Radiative effects of clouds, ice sheet and sea ice in the Antarctic Snow and fee Covers: Interactions with the Atmosphere and Ecosystems (Proceedings of Yokohama Symposia J2 and J5, July 1993). IAHS Publ. no. 223, 1994. 29 Radiative effects of clouds, ice sheet and sea

More information

STATUS AND RESULTS OF OSEs. (Submitted by Dr Horst Böttger, ECMWF) Summary and Purpose of Document

STATUS AND RESULTS OF OSEs. (Submitted by Dr Horst Böttger, ECMWF) Summary and Purpose of Document WORLD METEOROLOGICAL ORGANIZATION COMMISSION FOR BASIC SYSTEMS OPEN PROGRAMMME AREA GROUP ON INTEGRATED OBSERVING SYSTEMS EXPERT TEAM ON OBSERVATIONAL DATA REQUIREMENTS AND REDESIGN OF THE GLOBAL OBSERVING

More information

Observed Cloud Cover Trends and Global Climate Change. Joel Norris Scripps Institution of Oceanography

Observed Cloud Cover Trends and Global Climate Change. Joel Norris Scripps Institution of Oceanography Observed Cloud Cover Trends and Global Climate Change Joel Norris Scripps Institution of Oceanography Increasing Global Temperature from www.giss.nasa.gov Increasing Greenhouse Gases from ess.geology.ufl.edu

More information

How To Monitor Radiation

How To Monitor Radiation The World Radiation Monitoring Center at the Alfred Wegener Institute Main WRMC Objectives: Collecting uniform and consistent measurements throughout the Baseline Surface Radiation Network (BSRN) to: 1.

More information

TOPIC: CLOUD CLASSIFICATION

TOPIC: CLOUD CLASSIFICATION INDIAN INSTITUTE OF TECHNOLOGY, DELHI DEPARTMENT OF ATMOSPHERIC SCIENCE ASL720: Satellite Meteorology and Remote Sensing TERM PAPER TOPIC: CLOUD CLASSIFICATION Group Members: Anil Kumar (2010ME10649) Mayank

More information

Improvement in the Assessment of SIRS Broadband Longwave Radiation Data Quality

Improvement in the Assessment of SIRS Broadband Longwave Radiation Data Quality Improvement in the Assessment of SIRS Broadband Longwave Radiation Data Quality M. E. Splitt University of Utah Salt Lake City, Utah C. P. Bahrmann Cooperative Institute for Meteorological Satellite Studies

More information

Nowcasting: analysis and up to 6 hours forecast

Nowcasting: analysis and up to 6 hours forecast Nowcasting: analysis and up to 6 hours forecast Very high resoultion in time and space Better than NWP Rapid update Application oriented NWP problems for 0 6 forecast: Incomplete physics Resolution space

More information

CHAPTER 2 Energy and Earth

CHAPTER 2 Energy and Earth CHAPTER 2 Energy and Earth This chapter is concerned with the nature of energy and how it interacts with Earth. At this stage we are looking at energy in an abstract form though relate it to how it affect

More information

Hong Kong Observatory Summer Placement Programme 2015

Hong Kong Observatory Summer Placement Programme 2015 Annex I Hong Kong Observatory Summer Placement Programme 2015 Training Programme : An Observatory mentor with relevant expertise will supervise the students. Training Period : 8 weeks, starting from 8

More information

Broadband and Spectral Shortwave Calibration Results from ARESE II

Broadband and Spectral Shortwave Calibration Results from ARESE II Broadband and Spectral Shortwave Calibration Results from ARESE II Introduction J. J. Michalsky, P. W. Kiedron, and J. L. Berndt State University of New York Albany, New York T. L. Stoffel, D. Myers, I.

More information

A Project to Create Bias-Corrected Marine Climate Observations from ICOADS

A Project to Create Bias-Corrected Marine Climate Observations from ICOADS A Project to Create Bias-Corrected Marine Climate Observations from ICOADS Shawn R. Smith 1, Mark A. Bourassa 1, Scott Woodruff 2, Steve Worley 3, Elizabeth Kent 4, Simon Josey 4, Nick Rayner 5, and Richard

More information

Solar Heating Basics. 2007 Page 1. a lot on the shape, colour, and texture of the surrounding

Solar Heating Basics. 2007 Page 1. a lot on the shape, colour, and texture of the surrounding 2007 Page 1 Solar Heating Basics Reflected radiation is solar energy received by collectorsfrom adjacent surfaces of the building or ground. It depends a lot on the shape, colour, and texture of the surrounding

More information

UNIT 6a TEST REVIEW. 1. A weather instrument is shown below.

UNIT 6a TEST REVIEW. 1. A weather instrument is shown below. UNIT 6a TEST REVIEW 1. A weather instrument is shown below. Which weather variable is measured by this instrument? 1) wind speed 3) cloud cover 2) precipitation 4) air pressure 2. Which weather station

More information

RESULTS FROM A SIMPLE INFRARED CLOUD DETECTOR

RESULTS FROM A SIMPLE INFRARED CLOUD DETECTOR RESULTS FROM A SIMPLE INFRARED CLOUD DETECTOR A. Maghrabi 1 and R. Clay 2 1 Institute of Astronomical and Geophysical Research, King Abdulaziz City For Science and Technology, P.O. Box 6086 Riyadh 11442,

More information

Improved Meteorological Measurements from Merchant Ships. Peter K. Taylor and Elizabeth C. Kent Southampton Oceanography Centre, UK

Improved Meteorological Measurements from Merchant Ships. Peter K. Taylor and Elizabeth C. Kent Southampton Oceanography Centre, UK Improved Meteorological Measurements from Merchant Ships Peter K. Taylor and Elizabeth C. Kent Southampton Oceanography Centre, UK Summary What Merchant Ship observations do we have? Why improve the Merchant

More information

Solarstromprognosen für Übertragungsnetzbetreiber

Solarstromprognosen für Übertragungsnetzbetreiber Solarstromprognosen für Übertragungsnetzbetreiber Elke Lorenz, Jan Kühnert, Annette Hammer, Detlev Heienmann Universität Oldenburg 1 Outline grid integration of photovoltaic power (PV) in Germany overview

More information

Department of Engineering Enzo Ferrari University of Modena and Reggio Emilia

Department of Engineering Enzo Ferrari University of Modena and Reggio Emilia Department of Engineering Enzo Ferrari University of Modena and Reggio Emilia Object: Measurement of solar reflectance, thermal emittance and Solar Reflectance Index Report Reference person: Alberto Muscio

More information

Solar Resource & Radiometry Tasks in Antofagasta

Solar Resource & Radiometry Tasks in Antofagasta Solar Resource & Radiometry Tasks in Antofagasta, Ph.D. aitor.marzo@uantof.cl Mauricio Trigo, Mg. Tania Varas, Mg. Antofagasta, January 14nd, 2015 Index Introduction to Solar Radiation Measurements Climates

More information

Chapter 3: Weather Map. Weather Maps. The Station Model. Weather Map on 7/7/2005 4/29/2011

Chapter 3: Weather Map. Weather Maps. The Station Model. Weather Map on 7/7/2005 4/29/2011 Chapter 3: Weather Map Weather Maps Many variables are needed to described weather conditions. Local weathers are affected by weather pattern. We need to see all the numbers describing weathers at many

More information

SIXTH GRADE WEATHER 1 WEEK LESSON PLANS AND ACTIVITIES

SIXTH GRADE WEATHER 1 WEEK LESSON PLANS AND ACTIVITIES SIXTH GRADE WEATHER 1 WEEK LESSON PLANS AND ACTIVITIES WATER CYCLE OVERVIEW OF SIXTH GRADE WATER WEEK 1. PRE: Evaluating components of the water cycle. LAB: Experimenting with porosity and permeability.

More information

RADIATION IN THE TROPICAL ATMOSPHERE and the SAHEL SURFACE HEAT BALANCE. Peter J. Lamb. Cooperative Institute for Mesoscale Meteorological Studies

RADIATION IN THE TROPICAL ATMOSPHERE and the SAHEL SURFACE HEAT BALANCE. Peter J. Lamb. Cooperative Institute for Mesoscale Meteorological Studies RADIATION IN THE TROPICAL ATMOSPHERE and the SAHEL SURFACE HEAT BALANCE by Peter J. Lamb Cooperative Institute for Mesoscale Meteorological Studies and School of Meteorology The University of Oklahoma

More information

Benefits accruing from GRUAN

Benefits accruing from GRUAN Benefits accruing from GRUAN Greg Bodeker, Peter Thorne and Ruud Dirksen Presented at the GRUAN/GCOS/WIGOS meeting, Geneva, 17 and 18 November 2015 Providing reference quality data GRUAN is designed to

More information

SPATIAL DISTRIBUTION OF NORTHERN HEMISPHERE WINTER TEMPERATURES OVER THE SOLAR CYCLE DURING THE LAST 130 YEARS

SPATIAL DISTRIBUTION OF NORTHERN HEMISPHERE WINTER TEMPERATURES OVER THE SOLAR CYCLE DURING THE LAST 130 YEARS SPATIAL DISTRIBUTION OF NORTHERN HEMISPHERE WINTER TEMPERATURES OVER THE SOLAR CYCLE DURING THE LAST 130 YEARS Kalevi Mursula, Ville Maliniemi, Timo Asikainen ReSoLVE Centre of Excellence Department of

More information

Predicting daily incoming solar energy from weather data

Predicting daily incoming solar energy from weather data Predicting daily incoming solar energy from weather data ROMAIN JUBAN, PATRICK QUACH Stanford University - CS229 Machine Learning December 12, 2013 Being able to accurately predict the solar power hitting

More information

Deutscher Wetterdienst

Deutscher Wetterdienst Long-term solar UV radiation reconstructed by Artificial Neural Networks (ANN) Uwe Feister 1, Jürgen Junk 2, and Michael Woldt 3 1 Deutscher Wetterdienst, Lindenberg, Germany 2 Département Environnement

More information

Ok, so if the Earth weren't tilted, we'd have a picture like the one shown below: 12 hours of daylight at all latitudes more insolation in the

Ok, so if the Earth weren't tilted, we'd have a picture like the one shown below: 12 hours of daylight at all latitudes more insolation in the Ok, so if the Earth weren't tilted, we'd have a picture like the one shown below: 12 hours of daylight at all latitudes more insolation in the tropics, less at higher latitudes Ok, so if the Earth weren't

More information

Solar Flux and Flux Density. Lecture 3: Global Energy Cycle. Solar Energy Incident On the Earth. Solar Flux Density Reaching Earth

Solar Flux and Flux Density. Lecture 3: Global Energy Cycle. Solar Energy Incident On the Earth. Solar Flux Density Reaching Earth Lecture 3: Global Energy Cycle Solar Flux and Flux Density Planetary energy balance Greenhouse Effect Vertical energy balance Latitudinal energy balance Seasonal and diurnal cycles Solar Luminosity (L)

More information

Empirical study of the temporal variation of a tropical surface temperature on hourly time integration

Empirical study of the temporal variation of a tropical surface temperature on hourly time integration Global Advanced Research Journal of Physical and Applied Sciences Vol. 4 (1) pp. 051-056, September, 2015 Available online http://www.garj.org/garjpas/index.htm Copyright 2015 Global Advanced Research

More information

How To Calculate An Altitude Gradient In The Alps

How To Calculate An Altitude Gradient In The Alps Theor. Appl. Climatol. 72, 137±155 2002) Physikalisch-Meteorologisches Observatorium Davos, World Radiation Center, Davos, Switzerland Altitude dependence of surface radiation uxes and cloud forcing in

More information

Very High Resolution Arctic System Reanalysis for 2000-2011

Very High Resolution Arctic System Reanalysis for 2000-2011 Very High Resolution Arctic System Reanalysis for 2000-2011 David H. Bromwich, Lesheng Bai,, Keith Hines, and Sheng-Hung Wang Polar Meteorology Group, Byrd Polar Research Center The Ohio State University

More information

Temporal variation in snow cover over sea ice in Antarctica using AMSR-E data product

Temporal variation in snow cover over sea ice in Antarctica using AMSR-E data product Temporal variation in snow cover over sea ice in Antarctica using AMSR-E data product Michael J. Lewis Ph.D. Student, Department of Earth and Environmental Science University of Texas at San Antonio ABSTRACT

More information

Content April 2010. Success in Russia for Kipp & Zonen. Contact

Content April 2010. Success in Russia for Kipp & Zonen. Contact Newsletter 12 Environmentally Friendly Roofs New Turn-key Data Acquisition Solutions Extreme Measures at Mount Sonnblick Meteo Station at DELTA Biovalue Content April 2010 Success in Russia for Kipp &

More information

Application of Numerical Weather Prediction Models for Drought Monitoring. Gregor Gregorič Jožef Roškar Environmental Agency of Slovenia

Application of Numerical Weather Prediction Models for Drought Monitoring. Gregor Gregorič Jožef Roškar Environmental Agency of Slovenia Application of Numerical Weather Prediction Models for Drought Monitoring Gregor Gregorič Jožef Roškar Environmental Agency of Slovenia Contents 1. Introduction 2. Numerical Weather Prediction Models -

More information

List 10 different words to describe the weather in the box, below.

List 10 different words to describe the weather in the box, below. Weather and Climate Lesson 1 Web Quest: What is the Weather? List 10 different words to describe the weather in the box, below. How do we measure the weather? Use this web link to help you: http://www.bbc.co.uk/weather/weatherwise/activities/weatherstation/

More information

What the Heck are Low-Cloud Feedbacks? Takanobu Yamaguchi Rachel R. McCrary Anna B. Harper

What the Heck are Low-Cloud Feedbacks? Takanobu Yamaguchi Rachel R. McCrary Anna B. Harper What the Heck are Low-Cloud Feedbacks? Takanobu Yamaguchi Rachel R. McCrary Anna B. Harper IPCC Cloud feedbacks remain the largest source of uncertainty. Roadmap 1. Low cloud primer 2. Radiation and low

More information

Decadal predictions using the higher resolution HiGEM climate model Len Shaffrey, National Centre for Atmospheric Science, University of Reading

Decadal predictions using the higher resolution HiGEM climate model Len Shaffrey, National Centre for Atmospheric Science, University of Reading Decadal predictions using the higher resolution HiGEM climate model Len Shaffrey, National Centre for Atmospheric Science, University of Reading Dave Stevens, Ian Stevens, Dan Hodson, Jon Robson, Ed Hawkins,

More information

Towards assimilating IASI satellite observations over cold surfaces - the cloud detection aspect

Towards assimilating IASI satellite observations over cold surfaces - the cloud detection aspect Towards assimilating IASI satellite observations over cold surfaces - the cloud detection aspect Tuuli Perttula, FMI + Thanks to: Nadia Fourrié, Lydie Lavanant, Florence Rabier and Vincent Guidard, Météo

More information

CONVECTION CURRENTS AND ANOMALOUS BEHAVIOUR OF WATER

CONVECTION CURRENTS AND ANOMALOUS BEHAVIOUR OF WATER CONVECTION CURRENTS AND ANOMALOUS BEHAVIOUR OF WATER Objective: To compare the thermal behaviour of water with that of other liquids, specifically alcohol and edible oil. To point out the anomaly of water

More information

Data Quality Assurance and Control Methods for Weather Observing Networks. Cindy Luttrell University of Oklahoma Oklahoma Mesonet

Data Quality Assurance and Control Methods for Weather Observing Networks. Cindy Luttrell University of Oklahoma Oklahoma Mesonet Data Quality Assurance and Control Methods for Weather Observing Networks Cindy Luttrell University of Oklahoma Oklahoma Mesonet Quality data are Trustworthy Reliable Accurate Precise Accessible Data life

More information

Solar radiation data validation

Solar radiation data validation Loughborough University Institutional Repository Solar radiation data validation This item was submitted to Loughborough University's Institutional Repository by the/an author. Citation: MCKENNA, E., 2009.

More information

Jessica Blunden, Ph.D., Scientist, ERT Inc., Climate Monitoring Branch, NOAA s National Climatic Data Center

Jessica Blunden, Ph.D., Scientist, ERT Inc., Climate Monitoring Branch, NOAA s National Climatic Data Center Kathryn Sullivan, Ph.D, Acting Under Secretary of Commerce for Oceans and Atmosphere and NOAA Administrator Thomas R. Karl, L.H.D., Director,, and Chair of the Subcommittee on Global Change Research Jessica

More information

VALIDATION OF SAFNWC / MSG CLOUD PRODUCTS WITH ONE YEAR OF SEVIRI DATA

VALIDATION OF SAFNWC / MSG CLOUD PRODUCTS WITH ONE YEAR OF SEVIRI DATA VALIDATION OF SAFNWC / MSG CLOUD PRODUCTS WITH ONE YEAR OF SEVIRI DATA M.Derrien 1, H.Le Gléau 1, Jean-François Daloze 2, Martial Haeffelin 2 1 Météo-France / DP / Centre de Météorologie Spatiale. BP 50747.

More information

CHAPTER 3 Heat and energy in the atmosphere

CHAPTER 3 Heat and energy in the atmosphere CHAPTER 3 Heat and energy in the atmosphere In Chapter 2 we examined the nature of energy and its interactions with Earth. Here we concentrate initially on the way in which energy interacts with the atmosphere

More information

User Perspectives on Project Feasibility Data

User Perspectives on Project Feasibility Data User Perspectives on Project Feasibility Data Marcel Šúri Tomáš Cebecauer GeoModel Solar s.r.o., Bratislava, Slovakia marcel.suri@geomodel.eu http://geomodelsolar.eu http://solargis.info Solar Resources

More information

ESCI 107/109 The Atmosphere Lesson 2 Solar and Terrestrial Radiation

ESCI 107/109 The Atmosphere Lesson 2 Solar and Terrestrial Radiation ESCI 107/109 The Atmosphere Lesson 2 Solar and Terrestrial Radiation Reading: Meteorology Today, Chapters 2 and 3 EARTH-SUN GEOMETRY The Earth has an elliptical orbit around the sun The average Earth-Sun

More information

Comparison of the Vertical Velocity used to Calculate the Cloud Droplet Number Concentration in a Cloud-Resolving and a Global Climate Model

Comparison of the Vertical Velocity used to Calculate the Cloud Droplet Number Concentration in a Cloud-Resolving and a Global Climate Model Comparison of the Vertical Velocity used to Calculate the Cloud Droplet Number Concentration in a Cloud-Resolving and a Global Climate Model H. Guo, J. E. Penner, M. Herzog, and X. Liu Department of Atmospheric,

More information

M&V of Hot Water Boiler Plant. Boban Ratkovich, P. Eng, CEM, BESA, LEED AP President CES Engineering Ltd

M&V of Hot Water Boiler Plant. Boban Ratkovich, P. Eng, CEM, BESA, LEED AP President CES Engineering Ltd M&V of Hot Water Boiler Plant Boban Ratkovich, P. Eng, CEM, BESA, LEED AP President CES Engineering Ltd AIA Quality Assurance Learning Objectives 1. Case study examples of procedures and obstacles in measuring

More information

Chapter 3: Weather Map. Station Model and Weather Maps Pressure as a Vertical Coordinate Constant Pressure Maps Cross Sections

Chapter 3: Weather Map. Station Model and Weather Maps Pressure as a Vertical Coordinate Constant Pressure Maps Cross Sections Chapter 3: Weather Map Station Model and Weather Maps Pressure as a Vertical Coordinate Constant Pressure Maps Cross Sections Weather Maps Many variables are needed to described dweather conditions. Local

More information

The Centre for Australian Weather and Climate Research. A partnership between CSIRO and the Bureau of Meteorology

The Centre for Australian Weather and Climate Research. A partnership between CSIRO and the Bureau of Meteorology The Centre for Australian Weather and Climate Research A partnership between CSIRO and the Bureau of Meteorology Testing and diagnosing the ability of the Bureau of Meteorology s Numerical Weather Prediction

More information

3D MODEL ATMOSPHERES OF THE SUN AND LATE-TYPE STARS. Remo Collet Australian National University

3D MODEL ATMOSPHERES OF THE SUN AND LATE-TYPE STARS. Remo Collet Australian National University 3D MODEL ATMOSPHERES OF THE SUN AND LATE-TYPE STARS Remo Collet Australian National University STELLAR SPECTRA Stellar spectra carry the information about the physical properties and compositions of stars

More information

Traffic Management Systems with Air Quality Monitoring Feedback. Phil Govier City & County of Swansea

Traffic Management Systems with Air Quality Monitoring Feedback. Phil Govier City & County of Swansea Traffic Management Systems with Air Quality Monitoring Feedback Phil Govier City & County of Swansea The Swansea Project - what are we trying to achieve? Develop a working traffic emissions forecast model

More information

Resource mapping of solar energy An overview of available data in Norway

Resource mapping of solar energy An overview of available data in Norway Resource mapping of solar energy An overview of available data in Norway Report: KVT/OB/2013/R046 Content 1 Introduction... 4 2 Properties of solar radiation... 5 2.1 THE SOLAR RADIATION SPECTRUM 2.2

More information

Energy Pathways in Earth s Atmosphere

Energy Pathways in Earth s Atmosphere BRSP - 10 Page 1 Solar radiation reaching Earth s atmosphere includes a wide spectrum of wavelengths. In addition to visible light there is radiation of higher energy and shorter wavelength called ultraviolet

More information

Next generation models at MeteoSwiss: communication challenges

Next generation models at MeteoSwiss: communication challenges Federal Department of Home Affairs FDHA Federal Office of Meteorology and Climatology MeteoSwiss Next generation models at MeteoSwiss: communication challenges Tanja Weusthoff, MeteoSwiss Material from

More information

Decadal Variability: ERBS, ISCCP, Surface Cloud Observer, and Ocean Heat Storage

Decadal Variability: ERBS, ISCCP, Surface Cloud Observer, and Ocean Heat Storage Decadal Variability: ERBS, ISCCP, Surface Cloud Observer, and Ocean Heat Storage Takmeng Wong, Bruce A. Wielicki, and Robert B. Lee, III NASA Langley Research Center, Hampton, Virginia 30 th CERES Science

More information

Parameterization of Cumulus Convective Cloud Systems in Mesoscale Forecast Models

Parameterization of Cumulus Convective Cloud Systems in Mesoscale Forecast Models DISTRIBUTION STATEMENT A. Approved for public release; distribution is unlimited. Parameterization of Cumulus Convective Cloud Systems in Mesoscale Forecast Models Yefim L. Kogan Cooperative Institute

More information

Copernicus Information Day Q&A presentation

Copernicus Information Day Q&A presentation COPERNICUS CLIMATE CHANGE SERVICE COPERNICUS ATMOSPHERE MONITORING SERVICE Copernicus Information Day Q&A presentation 2 February 2015 Introduction Quite a number of delegates submitted questions in advance

More information

The APOLLO cloud product statistics Web service

The APOLLO cloud product statistics Web service The APOLLO cloud product statistics Web service Introduction DLR and Transvalor are preparing a new Web service to disseminate the statistics of the APOLLO cloud physical parameters as a further help in

More information

EVALUATING SOLAR ENERGY PLANTS TO SUPPORT INVESTMENT DECISIONS

EVALUATING SOLAR ENERGY PLANTS TO SUPPORT INVESTMENT DECISIONS EVALUATING SOLAR ENERGY PLANTS TO SUPPORT INVESTMENT DECISIONS Author Marie Schnitzer Director of Solar Services Published for AWS Truewind October 2009 Republished for AWS Truepower: AWS Truepower, LLC

More information

Temperature. PJ Brucat

Temperature. PJ Brucat PJ Brucat Temperature - the measure of average kinetic energy (KE) of a gas, liquid, or solid. KE is energy of motion. KE = ½ mv 2 where m=mass and v=velocity (speed) 1 All molecules have KE whether solid,

More information

VALIDATION OF THE SUNY SATELLITE MODEL IN A METEOSAT ENVIRONMENT

VALIDATION OF THE SUNY SATELLITE MODEL IN A METEOSAT ENVIRONMENT VALIDATION OF THE SUNY SATELLITE MODEL IN A METEOSAT ENVIRONMENT Richard Perez ASRC, 251 Fuller Rd Albany, NY, 12203 Perez@asrc.cestm.albany,edu Jim Schlemmer ASRC Jim@asrc.cestm.albany,edu Shannon Cowlin

More information

Client: RENOLIT Italia Srl. Work completion: 01/10/2008 (or after receipt of the weathered samples) Notes: Preliminary Report

Client: RENOLIT Italia Srl. Work completion: 01/10/2008 (or after receipt of the weathered samples) Notes: Preliminary Report Object: laboratory measurement on alkorplan 35276 Client: RENOLIT Italia Srl Reference person: Prof. Paolo Tartarini Work start: 01/08/2008 Work completion: 01/10/2008 (or after receipt of the weathered

More information

cloud Impacts on Off-Line AQs

cloud Impacts on Off-Line AQs Improving Cloud Impacts on Photolysis Rates in Off-Line AQMs Chris Emery ENVIRON Corporation June 24, 2009 Acknowledgements: K. Baker, B. Timin, EPA/OAQPS Introduction Photochemistry is strongly influenced

More information

ENVIRONMENTAL STRUCTURE AND FUNCTION: CLIMATE SYSTEM Vol. II - Low-Latitude Climate Zones and Climate Types - E.I. Khlebnikova

ENVIRONMENTAL STRUCTURE AND FUNCTION: CLIMATE SYSTEM Vol. II - Low-Latitude Climate Zones and Climate Types - E.I. Khlebnikova LOW-LATITUDE CLIMATE ZONES AND CLIMATE TYPES E.I. Khlebnikova Main Geophysical Observatory, St. Petersburg, Russia Keywords: equatorial continental climate, ITCZ, subequatorial continental (equatorial

More information

Use of numerical weather forecast predictions in soil moisture modelling

Use of numerical weather forecast predictions in soil moisture modelling Use of numerical weather forecast predictions in soil moisture modelling Ari Venäläinen Finnish Meteorological Institute Meteorological research ari.venalainen@fmi.fi OBJECTIVE The weather forecast models

More information

Science Goals for the ARM Recovery Act Radars

Science Goals for the ARM Recovery Act Radars DOE/SC-ARM-12-010 Science Goals for the ARM Recovery Act Radars JH Mather May 2012 DISCLAIMER This report was prepared as an account of work sponsored by the U.S. Government. Neither the United States

More information

Let s consider a homogeneous medium characterized by the extinction coefficient β ext, single scattering albedo ω 0 and phase function P(µ, µ').

Let s consider a homogeneous medium characterized by the extinction coefficient β ext, single scattering albedo ω 0 and phase function P(µ, µ'). Lecture 22. Methods for solving the radiative transfer equation with multiple scattering. Part 4: Monte Carlo method. Radiative transfer methods for inhomogeneous ouds. Objectives: 1. Monte Carlo method.

More information

Solar Input Data for PV Energy Modeling

Solar Input Data for PV Energy Modeling June 2012 Solar Input Data for PV Energy Modeling Marie Schnitzer, Christopher Thuman, Peter Johnson Albany New York, USA Barcelona Spain Bangalore India Company Snapshot Established in 1983; nearly 30

More information

Meteorological Forecasting of DNI, clouds and aerosols

Meteorological Forecasting of DNI, clouds and aerosols Meteorological Forecasting of DNI, clouds and aerosols DNICast 1st End-User Workshop, Madrid, 2014-05-07 Heiner Körnich (SMHI), Jan Remund (Meteotest), Marion Schroedter-Homscheidt (DLR) Overview What

More information