Forskningsoutput per år
Forskningsoutput per år
Information
Akronym
LPJ-GUESS
Namn på nationell/internationell infrastruktur som denna infrastruktur tillhör
LPJ-GUESS also forms the vegetation component of the EC-Earth Earth System Model, https://ec-earth.org, a large European collaboration.
Beskrivning
Se den engelska sidan för mer information
Utrustning och resurser
Version-controlled community code repository containing release versions of the model, as well as various project-specific branches.
Utilities for the processing of output data and preparation of input data.
Utilities for the processing of output data and preparation of input data.
Digitala och fysiska samlingar
Release versions of the code and the publication library can be accessed through the website:
https://web.nateko.lu.se/lpj-guess/index.html
https://web.nateko.lu.se/lpj-guess/index.html
Erbjudna tjänster
By agreement we can sometimes help provide driver data sets and input/output code for historical (hindcast) simulations.
The software comes with documentation that should help and the source code itself is well structured and commented. However, some basic skills in C/C++ are a minimum requirement in the absence of a support agreement.
The software comes with documentation that should help and the source code itself is well structured and commented. However, some basic skills in C/C++ are a minimum requirement in the absence of a support agreement.
Styrning av infrastrukturen
The steering group at Lund University comprises:
Paul Miller
Thomas Pugh
Benjamin Smith
Paul Miller
Thomas Pugh
Benjamin Smith
Ämnesklassifikation (UKÄ)
- Ekologi
Typ av infrastruktur
- Tjänster
- Digitala samlingar
Forskningsoutput
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A comprehensive evaluation of hydrological processes in a second-generation dynamic vegetation model
Zhou, H., Tang, J., Olin, S. & Miller, P. A., 2024 apr., I: Hydrological Processes. 38, 4, e15152.Forskningsoutput: Tidskriftsbidrag › Artikel i vetenskaplig tidskrift › Peer review
Öppen tillgång -
Optimising CH4 simulations from the LPJ-GUESS model v4.1 using an adaptive Markov chain Monte Carlo algorithm
Kallingal, J. T., Lindström, J., Miller, P. A., Rinne, J., Raivonen, M. & Scholze, M., 2024 mars 20, I: Geoscientific Model Development. 17, 6, s. 2299-2324 26 s.Forskningsoutput: Tidskriftsbidrag › Artikel i vetenskaplig tidskrift › Peer review
Öppen tillgång -
Accounting for Winter Warming Events in the Ecosystem Model LPJ-GUESS: Evaluation and Outlook
Pascual, D., Johansson, M., Pongracz, A. & Tang, J., 2024, I: Journal of Geophysical Research: Biogeosciences. 129, 3, e2023JG007464.Forskningsoutput: Tidskriftsbidrag › Artikel i vetenskaplig tidskrift › Peer review
Öppen tillgång
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MERGE SP: Using the regional Earth system model RCA-GUESS to quantify vegetation-atmosphere feedback on a hotspot of CO2 flux variability - Australia
Zhang, W. (PI), Wu, M. (Forskare), Smith, B. (Forskare), Teckentrup, L. (Forskare) & Döscher, R. (Forskare)
2023/09/01 → 2024/12/31
Projekt: Forskning
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Impacts of several years consecutive summer droughts on forest-climate feedbacks - an ecosystem modelling approach
Gärdenäs, A. (PI), Chen, D. (Forskare), Tarvainen, L. (Forskare), Zhang, W. (CoI) & Johansson, U. (CoI)
2023/01/01 → 2024/12/31
Projekt: Forskning
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FunDiCeS: Den funktionella diversitetens roll i Afrikanska tropiska skogars klimatresilliens
Pugh, T. (PI), Olin, S. (Forskare), Uddling, J. (Forskare), Wallin, G. (Forskare), Nsabimana, D. (Forskare) & Pongrácz, A. (Forskare)
2022/01/01 → 2025/12/31
Projekt: Forskning