CLASS4GL

Method

Chemistry Land-surface Atmosphere Soil Slab model for Global Studies

Description

The framework CLASS4GL is designed to facilitate the investigation of the atmospheric boundary layer evolution in response to different land and atmospheric conditions observed around the world. The core of the platform is the model CLASS that is used to simulate the evolution of the atmospheric boundary layer. Instruction video about the boundary layer processes and how they are considered in the CLASS model can be found as on the CLASS model website. Observational data from balloons, satellites and reanalysis, are used to constrain and initialize the model. CLASS4GL uses 2 million global balloon soundings from the integrated global radio sounding archive and satellite data from the last 40 years.

Key components

Schematic overview of CLASS4GL.
  • A global data module that employs balloon soundings, satellite imagery and reanalysis data
  • An interface to easily perform multiple simulations of the atmospheric boundary layer in parallel, and multiple batches of global sensitivity experiments
  • Tools for pre-and post-processing the data pool of input data and experiments.
  • A GUI data explorer

The tool is under continuous development, and it can downloaded and installed as described in the tutorials below.

In case you experience a problem or a bug, please don’t hesitate to contact us. You can also open an issue on the github page. Any feedback will be highly appreciated.

Data sources

The 150 stations from IGRA of the reference dataset to perform and validate the ABL model simulations with CLASS4GL (see Sect. 2.2 of the CLASS4GL manuscript). The different climate classes are indicated with the colors according to the Köppen-Geiger climate classification. The markers indicate the locations of the atmospheric profiles from three observation campaigns (ie., HUMPPA, BLLAST and GOAMAZON).

CLASS4GL employs the balloon soundings from the Integrated Global Radiosonde Archive (IGRA) to initialize and validate the CLASS model. The sounding data is supplemented with ancillary data to further constrain the model. Therefore, a default set of gridded global datasets from satellite imagery, reanalysis and and surveys have been used that span a period of 1981–2015. An complete overview of the datasets can be found in the table. However, the default set can be replaced by alternative datasets as long as they are provided in netCDF format.

A CLASS4GL data package is available that can be directly used to perform and validate ABL model simulations and sensitivity experiments. The locations of the balloon soundings are performed for different climate regions as shown on the map.

Data library of CLASS4GL

Bibliography

Wouters, H., Petrova, I. Y., van Heerwaarden, C. C., Vilà-Guerau de Arellano, J., Teuling, A. J., Meulenberg, V., Santanello, J. A., and Miralles, D. G.: Atmospheric boundary layer dynamics from balloon soundings worldwide: CLASS4GL v1.0, Geosci. Model Dev., 12, 2139-2153, https://doi.org/10.5194/gmd-12-2139-2019, 2019.

Martens, B., Schumacher, D. L., Wouters, H., Muñoz-Sabater, J., Verhoest, N. E. C., and Miralles, D. G.: Evaluating the land-surface energy partitioning in ERA5, Geosci. Model Dev., 13, 4159–4181, https://doi.org/10.5194/gmd-13-4159-2020, 2020.

CLASS4GL

Latest News

Make weather balloons great again!

Figure showing the number of stations per year.
The number of launch bases reporting data with weather balloons. (figure source: Integrated Global Radiosonde Archive)

Twice a day, weather balloons are released simultaneously from hundreds of meteorological institutes and airports around the world. They monitor the global weather for more than a century, in which they measure the properties of the air layers —including temperature, humidity, wind pressure, cloudiness— up to 30km above the Earth’s surface. The measurements are collected in central databases, and provide key information for the daily weather forecast. The daily global party of meteorological measurements is at its downturn since the golden era in the 70s and 80s (right figure). After all, the balloon measurements are costly and labor intensive, and they are increasingly competing against other emerging resources from aircrafts and satellite imagery.

Nonetheless, weather balloons remain an exclusive global network of unequivocal measurements of the upper atmosphere with all its details. The launches are reliable at times when other sources of upper air data break down such as the coronavirus-linked decline in aviation data affecting weather forecasts. Balloon soundings also provide the persistent information about severe weather events, including thunderstorms, droughts and heatwaves. They are continuously integrated in weather and climate reconstructions, and used to verify and improve computer simulations of the atmosphere.

There is more. The soundings enable us to identify the mechanisms behind the onset, evolution, movement, and demise of extreme weather directly from the measured air properties. In this way, the emerging CLASS4GL.eu community continues to exploit the global archive of weather balloon soundings, and several studies are being conducted (see below). Since weather phenomena are highly variable, it is our experience that the abundance of soundings and launch sites distributed over different regions are indispensable to identify drivers of extreme weather.

Heatwaves, droughts and extreme precipitation are on the rise! The decay of the global weather balloon network impedes research on their responsible mechanisms under global warming. It also hampers hazardous weather monitoring for warning operations, and the development of climate mitigation scenarios and adaption strategies. Fortunately, new network rollouts in data scarce regions like Africa can turn the tide, but also novel technologies to automate the launches or to make them more controllable and sustainable, like drones. In either case, we need to perpetuate and extend the global weather balloon network as one of the most genuine legacies of the weather and climate community.

Let’s make weather balloons great again!

HW

Recent CLASS4GL applications:

  • The first CLASS4GL application is included in a study led by Brecht Martens (Ghent University) that was published recently in the journal Geoscientific Model Development. The study concerns the validation of ‘surface fluxes’ from the reconstruction of the past climate ERA5. These surface fluxes comprise the heat exchange and moist exchanges between the Earth’s surface and the atmosphere, which largely influence outdoor temperature and humidity. The study found that the surface fluxes from ERA5 could better describe the evolution of upper air layers as observed from the weather balloons compared to its predecessor ERA-Interim. These results are one amongst the many benchmarks of the ERA5 surface fluxes against multiple types of observations.
    Martens, B., Schumacher, D. L., Wouters, H., Muñoz-Sabater, J., Verhoest, N. E. C., and Miralles, D. G.: Evaluating the land-surface energy partitioning in ERA5, Geosci. Model Dev., 13, 4159–4181, https://doi.org/10.5194/gmd-13-4159-2020, 2020.
  • In a study led by Jasper Denissen (Max Planck Institute for Biogeochemistry; Wageningen University & Research), it is investigated whether moisture levels of the surface can be detected in the weather balloon observations. The study demonstrates in a unique way how weather balloons can be used to detect the influence of land conditions —particularly drought— on the atmosphere and vice versa. It was found to enhance our understanding of the interactions between the land conditions and the atmosphere conditions. The study is currently in revision for npj Atmosphere and Climate Sciences.
  • A study conducted by Hendrik Wouters (Ghent University; Flemish Institute for Technological Research) has investigated the effect of soil dryness on human heat stress and has been sent to review.
  • A study is being conducted by Vicky Meulenberg (Wageningen University & Research) and investigates the soil moisture influence on convective triggering —the atmospheric tipping point that precedes the presence of clouds and precipitation— and its temporal variability in different regions. CLASS4GL has been used to identify weather regimes at which either drier or moister land are advantageous for convective triggering.

Happy new year! Highlights from last year

  • The two master theses using CLASS4GL have been successfully defended:
    1. “Soil moisture influence on convective triggering and its temporal dynamics in different climate regions” by Vicky Meulenberg (Wageningen University & Research): CLASS4GL has been used to identify dry and wet soil advantage regimes for convective triggering in contrasting climate regions.
    2. “Heatwaves in urban areas: analysis of the main drivers” by Joke De Meester (Ghent University): CLASS4GL was upgraded with an urban land parameterization and applied using Microwave Temperature Profile data to study the urban boundary layer effects of climate adaptation measures for Moscow mega-city (pdf).
    Congratulations to the graduates!
  • PhD candidate Jasper Denissen is deploying CLASS4GL to quantify critical soil moisture levels (transition point between energy-limited regime and water-limited regime for Earth’s surface evaporation) from weather balloon observations. He is doing this work for the project ‘Multivariate Analysis of Land-Atmosphere Interactions in a Changing Climate’ at the Max Planck Institute of Biogeochemistry.
  • A global assessment using CLASS4GL of the impact of land dryness on the health threatening nature of hot spells was presented during the DRY–2–DRY workshop at Ghent University. More news on this study will appear soon.

Manuscript published + new version

We are pleased to inform you that the manuscript about the technical description and evaluation of CLASS4GL has now been published. It is available for download at: https://www.geosci-model-dev.net/12/2139/2019/.

A new version of CLASS4GL (v1.0.1) has been released. We also provide an update of the data input library, which now contains evaporative fractions based on ERA5. You can download and install both files at the installation tutorial.