the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
What is climate change doing in Himalaya? Thirty years of the Pyramid Meteorological Network (Nepal)
Abstract. Climate change is deeply impacting mountain areas around the globe, especially in Himalaya. However, the lack of long-term meteorological observations at high elevations poses significant challenges to understand and predict impacts at various scales. This also represents a serious limit for model-based projections of future behavior of crucial elements of the mountain cryosphere such as glaciers. Here, we present the Pyramid Meteorological Network, located in Himalaya (Nepal), on the southern slopes of Mt. Everest. The network is composed of 7 meteorological stations located between 2660 and 7986 m a.s.l., which have collected continuous climatic data during the last 30 years (1994–2023). In this paper, details are provided regarding instrument types and characteristics as well as data quality control and assessment. The obtained data series are available on a newly created geoportal. We leverage these unique records to present new knowledge on the Himalayan climate, benefiting also from the highest observational climatic series in the world (Pyramid station, located at above 5000 m a.s.l., close to Khumbu Glacier). These data will provide fundamental knowledge on climate dynamics in Himalaya that will inform research at high elevations in the coming years. The dataset is available freely accessible from https://geoportal.mountaingenius.org/portal/ (https://zenodo.org/records/14450214) (Salerno et al., 2024).
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Status: open (until 04 Apr 2025)
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RC1: 'Comment on essd-2024-591', Emily Potter, 13 Mar 2025
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The comment was uploaded in the form of a supplement: https://essd.copernicus.org/preprints/essd-2024-591/essd-2024-591-RC1-supplement.pdf
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RC2: 'Comment on essd-2024-591', Anonymous Referee #2, 24 Mar 2025
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The comment was uploaded in the form of a supplement: https://essd.copernicus.org/preprints/essd-2024-591/essd-2024-591-RC2-supplement.pdf
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RC3: 'Comment on essd-2024-591', Signe Hillerup Larsen, 25 Mar 2025
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Review of Salerno and Guyennon et al. for ESSD data description paper
25 March 2025
General comments
The manuscript describes and make available an important dataset of weather station data at the elevation of glacier ablation zones in the region. The dataset is useful, unique and I highly recommend that the data is made freely available. However, I don’t think the manuscript is sufficient to support the publication of the dataset in the current version.
Specific comments
The manuscript is structured like a regular research article – this is not necessary for the ESSD dataset description format. I think this might be a contributing factor to why I find the manuscript hard to use as a dataset description paper in the current state. Overall, I think the paper could be restructured to a structure like this:
- Introduction
- Area description
- Data description
- General AWS description
- Specific details on maintenance and precipitation undercatch etc..
- If the data is published with filled gaps, then the gap filling should go here.
- Statistical analysis
- Statistical method
- If gap filling is done only for the purpose of the statistical method then the description should go here
- Results from the statistical analysis
- Discussion of the statistical analysis
- Conclusion of the statistical analysis
- Data availability
- Overall conclusion (mainly just summing up)
I don’t think the data portal description belongs in an ESSD dataset description paper, but I will leave this up to the editor to decide.
I hope the following comments will help clarify:
Section 3.1 gives a nice overview of the location and history of the AWSs and instruments incl. uncertainty is listed in Table 3. However, here I am missing more detail on the instrument’s maintenance schedule, recalibration of hygrometer and a short description of under catch in the precipitation gauge (this is mentioned later but it would be nice to have it already here).
Section 3.3 heavily relies on the description of gap filling method in Salerno et al., 2015 which makes the section hard to understand when you have not read the paper. So, I think the method for gap filling should be elaborated here so this section can stand by itself.
Figure 5: In the total precipitation there is clearly a shift in monthly trend data around 2001. I guess this is likely to be due to a change in instrumentation or logging frequency or something else – but this should be discussed in the main text.
Line by line
38-41: This is interesting – but I don’t think it is relevant in the context of this manuscript.
50: When you write “few” maybe you mean “only few”?
52: It is mentioned section 3.1 line 128-134 that there are stations at higher elevation than the stations mentioned here. Maybe this statement belongs better here in the introduction?
167-168: Perhaps reformulate: Pyramid station has data gaps corresponding to ca. 10 and 15 % of …
262-264: I believe this statement belongs in the results and discussion section especially when referring to another study. One possibility is to split results and discussion in two subsections to make it possible to summarize the findings in the results in the discussion and compare to what other have found.
Figures and tables
Figure 5: The panels should be marked with a) b) c) and d) and units should be on the y-axis of all subpanels.
Table 2: The caption should be changed so that it starts with the word Percentage (and not %). The first field in the table should describe what is in the top row and first column currently it is just a mini-caption.
Citation: https://doi.org/10.5194/essd-2024-591-RC3
Data sets
PYRAMID METEOROLOGICAL NETWORK - EVK2CNR Franco Salerno, Nicolas Guyennon, Nicola Colombo, Maria Teresa Melis, Francesco Gabriele Dessì, Gianpietro Verza, Kaji Bista, Ahmad Sheharyar, and Gianni Tartari https://zenodo.org/records/14450214
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