the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
LandInG 1.0: A toolbox to derive input datasets for terrestrial ecosystem modelling at variable resolutions from heterogeneous sources
- Potsdam Institute for Climate Impact Research (PIK), Member of the Leibniz Association, Potsdam, Germany
- Potsdam Institute for Climate Impact Research (PIK), Member of the Leibniz Association, Potsdam, Germany
Abstract. We present the Land Input Generator (LandInG) version 1.0, a new toolbox for generating input datasets for terrestrial ecosystem models (TEM) from diverse and partially conflicting data sources. While LandInG 1.0 is applicable to process data for any TEM, it is developed specifically for the open-source dynamic global vegetation, hydrology and crop growth model LPJmL (Lund-Potsdam-Jena with managed Land).
The toolbox documents the sources and processing of data to model inputs and allows for easy changes to the spatial resolution. It is designed to make inconsistencies between different sources of data transparent, so that users can make their own decisions on how to resolve these, should they not be content with the default assumptions made here.
As an example, we use the toolbox to create input datasets at 5 and 30 arc minutes spatial resolution covering land, country, and region masks, soil, river networks, freshwater reservoirs, irrigation water distribution networks, crop-specific annual land use, fertilizer, and manure application. We focus on the toolbox describing the data processing rather than only publishing the datasets as users may want to make different choices for reconciling inconsistencies, aggregation, spatial extent or similar. Also, new data sources or new versions of existing data become available continuously and the toolbox approach allows for incorporating new data to stay up-to-date.
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Sebastian Ostberg et al.
Status: open (until 02 Mar 2023)
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CC1: 'Comment on gmd-2022-291', Jinfeng Chang, 24 Jan 2023
reply
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RC1: 'Comment on gmd-2022-291', Jinfeng Chang, 24 Jan 2023
reply
This is a comprehensive manuscript that described a toolbox for generating commonly used input datasets for terrestrial ecosystem modelling at two spatial resolution 5’ and 30’. The generated datasets include static inputs like land-sea mask, country and region mask, soil texture and pH, river routing, grid locations of lakes, rivers, dams and reservoirs, and dynamic inputs, a harmonized gridded annual land use and land management (irrigation and fertilization) for the historical period 1500-2017. The application of this toolbox for generating input datasets for LPJmL was presented as an example. The manuscript is well structed and very well written. I would think it is a valuable effort to facilitate the input generation. I only have a few suggestions as follows.
- Given the fact that 1) most of the source datasets existed or used in this toolbox has the highest resolution of 5 arc minutes, 2) the spatial resolution of the TEM simulation usually (if not all) depend on the coarse resolution of all input datasets, and 3) in many cases of this toolbox, the aggregation can only be done with an integer multiple of the source resolution, it could be better to give the possible resolutions for each of the input datasets.
- For all the datasets, it is essential to provide not only the reference, but also the link to the source datasets, the access date (as datasets can be updated), the original data format, and the data content (e.g., exact variable name used by the toolbox). Otherwise, it makes the toolbox much more difficult and less useful for users.
- It is understandable that the authors did not provide results on the created gridded maps as it might contain source datasets that require a license to publish. But for those datasets that were publicly available and has been licensed to distribute, it would be better to provide the resulted maps in addition to the code. For the resulted gridded land use and land management dataset, in particular, the strategy described in this manuscript is in some sense novel (or at least comprehensively described for the first time). Though the authors claimed that this manuscript is solely a description of the toolbox, putting the gridded land use and land management dataset into a public repository could be useful for the community.
Sebastian Ostberg et al.
Model code and software
Code for LandInG v.1.0 sample application at 5 arc-minute and 30 arc-minute resolution Ostberg, Sebastian https://doi.org/10.5281/zenodo.7371650
Sebastian Ostberg et al.
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