I am working on a solar position and orbit predictor application for the International Space Station that will serve as planning tool for a new art project of Christian Waldvogel.
For updates visit his website http://www.waldvogel.com
Jan 01 2012
My tasks at MeteoSwiss include the analyses of the spatial and temporal variability of the surface solar irradiance with special emphasis on the complex Alpine terrain and the diverse interactions of horizon, snow cover and cloudiness in this terrain. One major result of this work is a satellite-based climatology of solar irradiance including its radiation components derived from Meteosat Second Generation SEVIRI data back to 2004.
The data set can be used to evaluate the suitability of a photovoltaic or thermal power plant or for calculating the energy consumption of a building. The data set currently covers the area of Switzerland at a spatial resolution of around 1-2 km and a temporal resolution of 15 minutes. It can be extended to any location and region over Europe and Africa upon request, and it can be extended in time by unifying it with our long term climate data record based on the Meteosat First Generation satellite.
More information including a point of contact for ordering the data can be found on the MeteoSwiss Solar Energy website.
Aug 25 2011
Our previous work on the remote-sensing based data assimilation framework has been extended to regional and global scales. It employs a subgrid‐scale representation of plant functional types (PFTs) and elevation classes to generate a globally applicable phenological parameter set. We are able to predict (or hindcast) a 50 year long (1960–2009) daily 1° × 1° global phenology climate data record with a mean FPAR and LAI prediction error of 0.065 (−) and 0.34 (m^2 m^−2).
The data set as well as the underlying data assimilation and prediction code with all parameters are available publicly as open source:
R. Stockli, T. Rutishauser, I. Baker, M. Liniger, and A. S. Denning. A global reanalysis of vegetation phenology. J. Geophys. Res. – Biogeo- sciences, 116(G03020), 2011. doi: 10.1029/2010JG001545.
Nov 26 2008
We have developed a computational framework for data assimilation of Fraction of Photosynthetically Active Radiation absorbed by vegetation (FPAR) and Leaf Area Index (LAI) from the MODerate Resolution Imaging Spectroradiometer (MODIS) to constrain empirical temperature, light, moisture and structural vegetation parameters in a prognostic phenology model.
It uses the Ensemble Kalman Filter (EnKF) after Evensen  employing around 1000 ensemble members as a sequential data assimilation model to assimilate satellite-derived vegetation states into the phenology model. The data assimilation is very effective in constraining model parameters which then yields a better a-posteriori prediction of vegetation states.
The method is firstly suitable to derive gap-free climatologies minimizing the errors of incomplete satellite retrievals, and it can be applied to parameterize prognostic vegetation models for use in prediction of vegetation states beyond the period of satellite coverage.
All code and related datasets are available as open source to the public:
R. Stockli, T. Rutishauser, D. Dragoni, J. O’Keefe, P. E. Thornton, M. Jolly, L. Lu, and A. S. Denning. Remote sens- ing data assimilation for a prognostic phenology model. Journal of Geophysical Research-Biogeosciences, 113(G4), Nov. 2008. doi: 10.1029/2008JG000781.
Jan 01 2007
The Blue Marble western and eastern hemispheres by Reto Stöckli (NASA Earth Observatory) are displayed to the left as printed on the front cover of the IPCC (Intergovernmental Panel on Climate Change) 4th assessment WGI report “The Physical Science Basis”.
These images integrate land, ocean, sea ice and clouds into a visual representation of the earth’s climate system. They are based on space-borne earth observation data from NASA’s MODIS (MODerate resolution Imaging Spectroradiometer) sensor aboard the TERRA and AQUA satellites.
The visualizations of both hemispheres were created using the Blue Marble Next Generation (BMNG, 2005). The BMNG resolves 500 m per pixel and is the successor of the Blue Marble (2002) project providing a set of layers covering the earth’s climate system. Both datasets are still the most detailed continuous and seamless true-color images of the Earth’s surface ever produced.
I hope that you also feel inspired by these images and find them useful. They exemplify the comprehensive global observing capabilities of today’s state-of-the-art satellite sensors. They also display the beauty and diversity of the Earth as a combined and interrelated system.
Visual perception of Earth system dynamics can foster interest to further explore the underlying science. Furthermore such visualizations can help to increase public understanding and awareness of causes and effects of changes in Earth’s climate system.
The images and underlying datasets are provided at no cost to the public and there are no restrictions for commercial purposes. You’re welcome to send complimentary copies of products where you have applied these images. The high resolution versions can be found here.
Citation: “Blue Marble Imagery by Reto Stöckli (NASA Earth Observatory) http://earthobservatory.nasa.gov “
Nov 27 2006
Europe was experiencing a historic heat wave during the summer 2003. Compared to the long term climatological mean, temperatures in July 2003 were sizzling. Figure 1 below shows the differences in day time land surface temperatures of 2003 to the ones collected in 2000, 2001, 2002 and 2004 by the Moderate Resolution Imaging Spectroradiometer (MODIS) on NASA’s Terra satellite.
Figure: The visualization displays TERRA MODIS (MODerate resolution Imaging Spectroradiometer) derived land surface temperature data of 1km spatial resolution (Click on the image to get the high resolution TIFF file). The difference in land surface temperature is calculated by subtracting the average of all cloud free data during 2000, 2001, 2002 and 2004 from the ones in measured in 2003, covering the date range of July 20 – August 20. (Cite this image as: Image by Reto Stöckli, Robert Simmon and David Herring, NASA Earth Observatory, based on data from the MODIS land team).
A blanket of deep red across southern and eastern France (left of image center) shows where radiative temperatures were 10 degrees Celsius (18 degrees Fahrenheit) hotter in summer 2003 than in the other years. White areas show where temperatures were similar, and blue shows where temperatures were cooler in 2003 than in 2000,2001,2002 and 2004.
Even the Alps, which arc across southeastern France, Switzerland, Austria, and northern Italy (just below image center), were very warm this year. Glaciers were melting rapidly and swelling rivers and lakes to dangerously high levels. Climbers had to be evacuated from Switzerland’s famous Matterhorn after melting triggered the collapse of a rock face. The popular climbing destination had been closed while geologists assess the possibility of further collapses.
The heat wave stretched northward all the way to the United Kingdom, particularly southern England (bottom of island) and Scotland (top of island). In London, trains were shut down over fears that tracks would buckle in the heat, while in Scotland the high temperatures combined with falling water levels in rivers and streams are threatening the spawning and survival of salmon. Throughout France, Spain, Portugal, and Italy, the intense heat and dry conditions sparked devastating forest fires.
Please find the highest resolution version of the 2003 LST, LAI and FPAR anomaly here.
Schär, C., P.L. Vidale, D. Lüthi, C. Frei, C. Häberli, M. Liniger and C. Appenzeller, 2004: The role of increasing temperature variability in European summer heat waves. Nature ,doi:10.1038/nature02300
Black, E., Blackburn, M., Harrison, G., Hoskins, B.J. and Methven, J. 2004. Factors contributing to the summer 2003 European heatwave. Weather, 59 , 217-223
R. Allen, Richard Lord Q.C., 2004: Climate change: the spectre of liability. Nature, 432, 551-552 (includes the above visualization).
Jan 01 2006
For Terra’s 5th anniversary I have created a remake of the original launch & deploy 3D animation:
Dec 23 2005
The Swiss NGO Paneco is engaged in Sumatra (Indonesia) where anthropogenic land use changes threaten local fauna and flora. The collaboration with Paneco has started with a small project that aimed at diagnosing rainfall intensity of a storm from TRMM 3B42 space radar data due to a lack of locally available rain gauges. The project continued with analysis of land use changes due to increasing oil palm plantations in northern Sumatra.
Mangroves woody trees or shrubs that grow in coastal areas and swamps. They occupy shallow water zones in tropical and subtropical coastal regions, usually where protected from direct wave action. The roots of the mangrove plants stabilize sand and mud. They also provide a habitat for wildlife, including several commercially important species of fish. Mangroves serve as a natural buffer to strong winds and waves produced by cyclones and they can protect against tsunamis.
image on the left was acquired by Landsat 5 in 1990 and shows a coastal mangrove area of around 400 km2 in south-western Aceh (Sumatra, Indonesia). The natural habitat is divided by the meandering Seumayam river which discharges into the Indian Ocean to the south. Dark red colors show natural vegetation, bright red indicate farming areas and blue colors mark bare soil and urban areas while blue-white colors are clouds. The image on the right was acquired by Landsat 7 in the year 2000 and shows the same area as above, but 10 years later: Almost all of the mangroves have been replaced with oil palm plantations. The rectangular and regular structures now show irrigation channels since oil palms have a high water demand. In the eastern part of the image a gradual expansion of farmland into the mangrove area can be witnessed.
Over 50% of the World’s mangroves have been lost during the past decades. In areas of the world where mangroves have been removed for development purposes, the coastline has been subject to rapid erosion. In Sumatra most of the mangrove trees have been replaced by oil palm plantations. Palm oil is a form of edible vegetable oil obtained from the fruit of the oil palm tree. Indonesia has become the second largest world producer of palm oil producing approximately 36% of world palm oil volume. There is increasing concern about environmental impacts of the palm oil industry since threatened species (such as the orang utan) live in the few remaining natural ecosystems on Borneo and Sumatra.
The false-color image from 5 August 2000 was acquired by the Enhanced Thematic Mapper plus (ETM+) aboard NASA’s Landsat 7 satellite. The one from 6 January 1990 was acquired by the Thematic Mapper (TM) aboard NASA’s Landsat 5 satellite. The Landsat satellites enable scientists to monitor land use and land cover change since 1972. Images by Reto Stöckli, based on Landsat data from the Global Land Cover Facility.
Jan 01 2005
The Blue Marble Next Generation (BMNG, 2005) is a cloud-free global satellite data set offering great spatial detail. It spans a longer data collection period than the original Blue Marble from 2000 and 2002. The original Blue Marble was a composite of four months of MODIS observations with a spatial resolution (level of detail) of 1 square kilometer per pixel. The Blue Marble Next Generation offers a year’s worth of monthly composites at a spatial resolution of 500 meters. These monthly images reveal seasonal changes to the land surface: the green-up and dying-back of vegetation in temperate regions such as North America and Europe, dry and wet seasons in the tropics, and advancing and retreating Northern Hemisphere snow cover. Modified and shortened text from: http://bluemarble.nasa.gov
Space exploration changed our visual perception of planet Earth. In 1950s, satellites revolutionized weather forecasting when they began beaming home television images of cloud patterns. Astronaut photography in the early 1970s showed us the whole Earth“disk” for the first time in true-color – the so-called “Blue Marble”. Since 1972, satellite sensors have been acquiring atmosphere, land, ice and ocean data with increasing spectral, spatial and temporal resolution. Satellite remote sensing systems like NASAs Earth Observing System (EOS) help us to understand and monitor Earth’s physical, chemical, and biological processes.
One of our first false-color Earth images from back in the year 2000 is named the “Blue Marble”. That image was created for public outreach and it demonstrated the high value of such visualizations. New sensors like MODIS, aboard NASAs Terra and Aqua satellites, observe and measure a wide range of geophysical parameters. In 2002 we created a successor true-color Earth image using MODIS land, ocean, ice and atmosphere science products. This image has been widely used in museums, print media, TV documentaries, in movies, by mapping agencies, and in NASA’s public communications about its missions and research initiatives.
The success of the Blue Marble imagery motivated us to continue the project. The Blue Marble Next Generation (BMNG) is a cloud-free true-color dataset at 500-m spatial resolution and monthly temporal resolution. The BMNG aims at providing freely available data from the Earth surface in true color, derived from scientific data as a value-added product. Although the spatial resolution of the BMNG is comparable to other datasets, seasonal variations with monthly time-steps have not been shown before in seamless true-color composites. A visualization of seasonal variations (snowfall, droughts, wet seasons, spring greening, etc.) has good potential to enhance education. Furthermore, the BMNG can help to increase public understanding (and therefore acceptance) of satellite missions and awareness of causes and effects of changes in Earth’s climate system.
Visit the NASA’s official Blue Marble Next Generation Website: http://bluemarble.nasa.gov
Jan 01 2005
Click on the respectiv images to get larger versions.
January 2004 Kenya
February 2004 Lake Etosha
March 2004 Sahara Desert
April 2004 The Alps
May 2004 The Himalayas
June 2004 The Andes
July 2004 Salt Lake City
August 2004 Eastern Greenland
September 2004 Patagonia
October 2004 The Okawango Delta
November 2004 Indonesian Islands
December 2004 The Bahamas