Stockli

Author's details

Name: Reto Stöckli
Date registered: 8 August 2011

Latest posts

  1. Solar Potential of Switzerland — 26 April 2016
  2. The Darkest Spot in Switzerland — 11 January 2015
  3. Flowering in the Greenhouse — 24 May 2012
  4. Digital Object Identifiers — 4 May 2012
  5. Remote Sensing of Solar Surface Radiation — 15 March 2012

Author's posts listings

Apr
26
2016

Solar Potential of Switzerland

The Swiss Federal Office of Energy SFOE, the Federal Office of Meteorology and Climatology MeteoSwiss, and the Federal Office of Topography swisstopo have created together with Meteotest a stunningly interactive and publicly accessible solar potential estimator for whole Switzerland. www.sonnendach.ch Compared to traditional so-called GIS-type “solar cadasters” this one is really usable. By usable I mean: …

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Jan
11
2015

The Darkest Spot in Switzerland

By analysis of our MeteoSwiss high quality satellite-based solar irradiance maps created by the Heliomont algorithm I’ve found that the sunniest place in Switzerland is close to the Monte Rosa hut of the Swiss Alpine Club SAC. During the calculation of the Solar Atlas of Switzerland (to be published as “The Solar Cadaster of Switzerland” on the Geoportal of …

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May
24
2012

Flowering in the Greenhouse

During the last few decades flowering and leafing of temperate and boreal vegetation has advanced by several days in response to warming. The climate sensitivity, as inferred from long-term observations, is estimated to be 2.5-5.0 days per degree C warming. Wolkovich et al. now show in their letter to Nature, that this response cannot be …

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May
04
2012

Digital Object Identifiers

Digital Object Identifiers (DOI’s) are often used to uniquely identify and reference digital content of written documents such as scientific publications or books. This is helpful to track a content over a long time period, where the actual location of the content may change, but any reference to it will have to stay the same. …

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Mar
15
2012

Remote Sensing of Solar Surface Radiation

We have processed a global irradiance and direct irradiance climate data record from the Meteosat first generation satellites (Meteosats 2 to 7, 1983–2005). The CDRs are available free of charge for all purposes from the EUMETSAT‘s Satellite Application Facility on Climate Monitoring Web User Interface at monthly, daily and hourly means at a spatial resolution …

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Mar
09
2012

How to “bluemarbelize” Google Maps?

Introduction Google Maps and Google Earth (hereafter Google Maps) are publicly available tools useful to visually explore the geography of our planet. Globally distributed high resolution satellite data are used as a background to dynamically map physical, geographical, historical, socio-economic or political thematic layers. Nowadays the average, educated person with access to the internet either …

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Feb
24
2012

Art from Space

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

Satellite-based planning of Solar Energy Applications

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 …

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Aug
25
2011

Global Re-Analysis of Vegetation

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 …

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Nov
26
2008

Remote Sensing Data Assimilation

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 …

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