Žiga Zaplotnik

Žiga Zaplotnik

Research scientist at ECMWF

Posts by Tags

ECMWF

Current state of the water vapour feedback

less than 1 minute read

Published:

The CO2 - water vapour positive climate feedback is real and active. The figure below is showing the meridional-vertical cross-section of the zonally-averaged specific humidity increase based between 1980 and 2018 for ERA5 reanalyses of the European Centre for Medium-range Weather Forecasts (ECMWF). The yearly-average specific humidity at certain grid point was computed for every year between 1980 to 2018 to estimate the linear trend and the difference between the trendline values are plotted.

ERA5 reanalysis

Current state of the water vapour feedback

less than 1 minute read

Published:

The CO2 - water vapour positive climate feedback is real and active. The figure below is showing the meridional-vertical cross-section of the zonally-averaged specific humidity increase based between 1980 and 2018 for ERA5 reanalyses of the European Centre for Medium-range Weather Forecasts (ECMWF). The yearly-average specific humidity at certain grid point was computed for every year between 1980 to 2018 to estimate the linear trend and the difference between the trendline values are plotted.

category1

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climate change

Current state of the water vapour feedback

less than 1 minute read

Published:

The CO2 - water vapour positive climate feedback is real and active. The figure below is showing the meridional-vertical cross-section of the zonally-averaged specific humidity increase based between 1980 and 2018 for ERA5 reanalyses of the European Centre for Medium-range Weather Forecasts (ECMWF). The yearly-average specific humidity at certain grid point was computed for every year between 1980 to 2018 to estimate the linear trend and the difference between the trendline values are plotted.

cloveski vpliv

cool posts

dokazi

machine learning

Predicting Tmax from latest radiosonde observations

less than 1 minute read

Published:

In February 2021, in the midst of the second epidemic wave, Doruntina Hoxha joined our atmospheric research group at UL FMF. Welcome, Doruntina! Doruntina will be working on the use of machine learning in subseasonal prediction. Her first task was to evaluate the impact of nighttime radiosonde measurements of temperature and relative humidity on the Tmax and Tmi prediction at the same station for the same day (day 0), the next day (day 1) etc. In the distant future, the neural networks might be able to predict the weather evolution directly from the measurements, without the NWP.

phd

Predicting Tmax from latest radiosonde observations

less than 1 minute read

Published:

In February 2021, in the midst of the second epidemic wave, Doruntina Hoxha joined our atmospheric research group at UL FMF. Welcome, Doruntina! Doruntina will be working on the use of machine learning in subseasonal prediction. Her first task was to evaluate the impact of nighttime radiosonde measurements of temperature and relative humidity on the Tmax and Tmi prediction at the same station for the same day (day 0), the next day (day 1) etc. In the distant future, the neural networks might be able to predict the weather evolution directly from the measurements, without the NWP.

podnebne spremembe

radiosonde

Predicting Tmax from latest radiosonde observations

less than 1 minute read

Published:

In February 2021, in the midst of the second epidemic wave, Doruntina Hoxha joined our atmospheric research group at UL FMF. Welcome, Doruntina! Doruntina will be working on the use of machine learning in subseasonal prediction. Her first task was to evaluate the impact of nighttime radiosonde measurements of temperature and relative humidity on the Tmax and Tmi prediction at the same station for the same day (day 0), the next day (day 1) etc. In the distant future, the neural networks might be able to predict the weather evolution directly from the measurements, without the NWP.

specific humidity increase

Current state of the water vapour feedback

less than 1 minute read

Published:

The CO2 - water vapour positive climate feedback is real and active. The figure below is showing the meridional-vertical cross-section of the zonally-averaged specific humidity increase based between 1980 and 2018 for ERA5 reanalyses of the European Centre for Medium-range Weather Forecasts (ECMWF). The yearly-average specific humidity at certain grid point was computed for every year between 1980 to 2018 to estimate the linear trend and the difference between the trendline values are plotted.

temperature rise

Current state of the water vapour feedback

less than 1 minute read

Published:

The CO2 - water vapour positive climate feedback is real and active. The figure below is showing the meridional-vertical cross-section of the zonally-averaged specific humidity increase based between 1980 and 2018 for ERA5 reanalyses of the European Centre for Medium-range Weather Forecasts (ECMWF). The yearly-average specific humidity at certain grid point was computed for every year between 1980 to 2018 to estimate the linear trend and the difference between the trendline values are plotted.

tmax

Predicting Tmax from latest radiosonde observations

less than 1 minute read

Published:

In February 2021, in the midst of the second epidemic wave, Doruntina Hoxha joined our atmospheric research group at UL FMF. Welcome, Doruntina! Doruntina will be working on the use of machine learning in subseasonal prediction. Her first task was to evaluate the impact of nighttime radiosonde measurements of temperature and relative humidity on the Tmax and Tmi prediction at the same station for the same day (day 0), the next day (day 1) etc. In the distant future, the neural networks might be able to predict the weather evolution directly from the measurements, without the NWP.

tmin

Predicting Tmax from latest radiosonde observations

less than 1 minute read

Published:

In February 2021, in the midst of the second epidemic wave, Doruntina Hoxha joined our atmospheric research group at UL FMF. Welcome, Doruntina! Doruntina will be working on the use of machine learning in subseasonal prediction. Her first task was to evaluate the impact of nighttime radiosonde measurements of temperature and relative humidity on the Tmax and Tmi prediction at the same station for the same day (day 0), the next day (day 1) etc. In the distant future, the neural networks might be able to predict the weather evolution directly from the measurements, without the NWP.

vpliv CO2

water vapour feedback

Current state of the water vapour feedback

less than 1 minute read

Published:

The CO2 - water vapour positive climate feedback is real and active. The figure below is showing the meridional-vertical cross-section of the zonally-averaged specific humidity increase based between 1980 and 2018 for ERA5 reanalyses of the European Centre for Medium-range Weather Forecasts (ECMWF). The yearly-average specific humidity at certain grid point was computed for every year between 1980 to 2018 to estimate the linear trend and the difference between the trendline values are plotted.