Merge pull request #10 from Tristan22400/pdf_generation

remove spaces between lines in the paper.md file

paper.md

@@ -32,57 +32,27 @@ bibliography: paper.bib
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 # Summary
-The international scientific community assessing on climate change and mitigation scenarios requests standardization and 
-harmonization of results in integrated assessment models to:
+The international scientific community assessing on climate change and mitigation scenarios requests standardization and harmonization of results in integrated assessment models to:
     - ensure full transparency about the origin and structure of data.
 	- facilitate the comparison across models in both the historical period and future scenarios.
 	- discuss on conceptual ideas about the internal structure of models, so to what extent different models representing 
 	  the same system deliver different results. 
 
-Results from different measurement procedures for the same measure should be equivalent (harmonized) within stated specifications 
-to measure uncertainty. A task that is already mandatory to contribute on high-level international reports such as those elaborated 
-by the Intergovernmental Pannel of Climate Change (IPCC) while necessary in the daily work of collaborative projects where different 
-tools are applied to solve the same research question. The present work aims to adapt and extend the potential of existing material 
-for users of a novel integrated assessment model, WILIAM. A pending task that has not been documented before although the urgency 
-for improving transparency and responsability of this model to meet open-science principles (FAIR [@Wilkinson2016] and TRUST 
-[@Lin2020]), as well as usability. Furthermore, we hope the contents will help to move students closer to climate change science.
+Results from different measurement procedures for the same measure should be equivalent (harmonized) within stated specifications to measure uncertainty. A task that is already mandatory to contribute on high-level international reports such as those elaborated by the Intergovernmental Pannel of Climate Change (IPCC) while necessary in the daily work of collaborative projects where different tools are applied to solve the same research question. The present `wiliamcformat` library aims to adapt and extend the potential of existing material for users of a novel integrated assessment model, WILIAM. A pending task that has not been documented before although the urgency for improving transparency and responsability of this model to meet open-science principles (FAIR [@Wilkinson2016] and TRUST [@Lin2020]), as well as usability. Furthermore, we hope the contents will help to move students closer to climate change science.
 
 
 # Statement of need
-Integrated assessment models (IAMs) have been used for a wide range of problems in the climate change field. From generating 
-consensus to identify key parameters and complex feedbacks on future between the world economies and nature [@Sarofim2011]. 
-However, [@Wilson2021] highlight that IAM evaluation should improve interpretability of results to communicate insights, credibility 
-as producers of knowledge under a 'sceptical review', and relevance of modelling analysis for informing scientific understanding 
-to policymakers and stakeholders. A challenge that may be achieved (at least partially) with model inter-comparisons, which are 
-mostly used to compare outputs and insights to explore uncertainties, and diagnostics, which proposes descriptive indicators 
-to explain characteristics of the performance in terms of model structure and assumptions.
+Integrated assessment models (IAMs) have been used for a wide range of problems in the climate change field. From generating consensus to identify key parameters and complex feedbacks on future between the world economies and nature [@Sarofim2011]. However, [@Wilson2021] highlight that IAM evaluation should improve interpretability of results to communicate insights, credibility as producers of knowledge under a 'sceptical review', and relevance of modelling analysis for informing scientific understanding to policymakers and stakeholders. A challenge that may be achieved (at least partially) with model inter-comparisons, which are mostly used to compare outputs and insights to explore uncertainties, and diagnostics, which proposes descriptive indicators to explain characteristics of the performance in terms of model structure and assumptions.
 
-The demand from model inter-comparison projects (MIPs) is a fruitful enterprise [@EdNature2015]. Recently, [@Nikas2021] identified 
-several MIPs and inter-comparison studies. An emerging practice in the field of IAMs that will surely place these tools at the same 
-level of reliability than climate and energy models. To overcome the limitations, the IAM Consortium and the International Institute 
-for Applied Systems Analysis (IIASA) started with a common standard, the IAMC format [@IAMCformatIIASA] and a plotting module to 
-play with timeseries called *pyam* [@Huppmann2021]. Some prominent studies using the IAMC format have been recently mentioned by 
-[@Claudia2024] including IPCC reports and milti-IAM studies.
+The demand from model inter-comparison projects (MIPs) is a fruitful enterprise [@EdNature2015]. Recently, [@Nikas2021] identified several MIPs and inter-comparison studies. An emerging practice in the field of IAMs that will surely place these tools at the same level of reliability than climate and energy models. To overcome the limitations, the IAM Consortium and the International Institute for Applied Systems Analysis (IIASA) started with a common standard, the IAMC format [@IAMCformatIIASA] and a plotting module to play with timeseries called *pyam* [@Huppmann2021]. Some prominent studies using the IAMC format have been recently mentioned by [@Claudia2024] including IPCC reports and milti-IAM studies.
 
-Additionally, despite the importance of climate change education[^1] in responding to the impacts of climate change, [@Filho2023] 
-identified *less attention given to systematically assessing the attitude, perceptions, and practices of students and the integration *
-*of the climate topic in the higher education institutions’ curricula and co-curricular activities in a way that may guide changes *
-*in the curriculum and teaching practices*. Consequently, we also aim to contribute to education, bring students closer to the climate 
-change problems through playing with the present code in Python lessons. For example, the University of Valladolid currently has Python 
-as mandatory subject in the official courses of sciences and engineering. 
+Additionally, despite the importance of climate change education[^1] in responding to the impacts of climate change, [@Filho2023] identified *less attention given to systematically assessing the attitude, perceptions, and practices of students and the integration *of the climate topic in the higher education institutions’ curricula and co-curricular activities in a way that may guide changes in the curriculum and teaching practices*. Consequently, we also aim to contribute to education, bring students closer to the climate change problems through playing with the present code in Python lessons. For example, the University of Valladolid currently has Python as mandatory subject in the official courses of sciences and engineering. 
 
 [^1] Climate change education refers to curricular contents deployed to increase awareness on climate change [@Filho2023].
 
-We have replicated the structure proposed by [@Claudia2024] for explaining the contents because of proximity of GCAM and WILIAM (both 
-are IAMs) and shared inter-comparison experience in the project called IAM COMPACT (see acknowledgements). It is helpful to also 
-compare and develop similarities of both tools.
+We have replicated the structure proposed by [@Claudia2024] for explaining the contents because of proximity of GCAM and WILIAM (both are IAMs) and shared inter-comparison experience in the project called IAM COMPACT (see acknowledgements). It is helpful to also compare and develop similarities of both tools.
 
-WILIAM is a nascent system dynamics policy-simulation model, descendent from the MEDEAS model [@capellan2020], which purpose is to 
-capture the socioeconomic implications of the energy transition(s) accounting for biophysical constraints. Although there are some 
-articles published, standardization and harmonization is yet missing so a potential improvement to better present results and increase 
-the transparency of the overall research activity with it. To do it properly, we have developed *wiliamcformat*, a python package that 
-translates WILIAM outputs to IAMC format timeseries for linking results with the existing aPython library called pyam, supported by 
-IIASA. Standarization, harmonization and visualization in a unique code for WILIAM users.
+WILIAM is a nascent system dynamics policy-simulation model, descendent from the MEDEAS model [@capellan2020], which purpose is to capture the socioeconomic implications of the energy transition(s) accounting for biophysical constraints. Although there are some articles published, standardization and harmonization is yet missing so a potential improvement to better present results and increase the transparency of the overall research activity with it. To do it properly, we have developed `wiliamcformat`, a python package that translates WILIAM outputs to IAMC format timeseries for linking results with the existing aPython library called pyam, supported by IIASA. Standarization, harmonization and visualization in a unique code for WILIAM users.
 
 # Functionality
 This section describes the code with a short example to easily follow the whole workflow.