From c9d3e6cd571759b65610545ddc2be2496e4f8208 Mon Sep 17 00:00:00 2001 From: Sadie Louise Bartholomew Date: Thu, 29 Oct 2020 03:17:07 +0000 Subject: [PATCH] JOSS paper proofread: minor formatting and wording edits --- joss/paper.bib | 2 +- joss/paper.md | 18 +++++++++--------- 2 files changed, 10 insertions(+), 10 deletions(-) diff --git a/joss/paper.bib b/joss/paper.bib index a64da6b..9a83ac3 100644 --- a/joss/paper.bib +++ b/joss/paper.bib @@ -156,7 +156,7 @@ @article{Ralph2004 @article{Gimeno2014, -author = {Gimeno, Luis and Nieto, Raquel and V{\~A}zquez, Marta and Lavers, David A.}, +author = {Gimeno, Luis and Nieto, Raquel and V{\'a}zquez, Marta and Lavers, David A.}, isbn = {2296-6463}, year = {2014}, keywords = {atmospheric branch of the, atmospheric rivers, atmospheric rivers, transport of moisture, atmosph, extratropical cyclones, hydrological cycle, intense, precipitation, transport of moisture}, diff --git a/joss/paper.md b/joss/paper.md index 1d11a9e..70024b1 100644 --- a/joss/paper.md +++ b/joss/paper.md @@ -30,7 +30,7 @@ bibliography: paper.bib An atmospheric river (AR) in the field of meteorology/climatology refers to enhanced water vapor content in the lower troposphere. The -term was coined as an analogy to the terrestrial rivers in a sense +term was coined as an analogy to terrestrial rivers in a sense that when viewed from satellite imagery or large scale atmospheric observation, they appear as narrow and elongated vapor filaments, representing transient intensified horizontal moisture fluxes @@ -65,15 +65,15 @@ level is expected to increase. # Summary In this package we propose a suite of new detection/tracking algorithms to help -solve the above difficulties. Through a systematic analysis using 7 years of -Reanalysis data [@Dee2011], we have found that the proposed detection algorithm +solve the above difficulties. Through a systematic analysis using seven years of +reanalysis data [@Dee2011], we have found that the proposed detection algorithm has reduced sensitivity to parameters [@Xu2020b]. Long-lived ARs -spanning multiple days, having cross-continent or cross-basin tracks can be +spanning multiple days, having cross-continent or cross-basin tracks, can be more reliably traced through their tropical/sub-tropical origins to high-latitude landfalls. As the research on ARs matures, new AR -detection/tracking methods are been developed, and the inter-comparisons of -various AR detection/tracking are carried out by, for instance, the Atmospheric -River Tracking Method Intercomparison Project (ARTMIP) [@Rutz2019b;@Shields2018]. +detection/tracking methods are being developed, and the inter-comparisons of +various AR detection/tracking methods are carried out by, for instance, +the Atmospheric River Tracking Method Intercomparison Project (ARTMIP) [@Rutz2019b;@Shields2018]. Using the terminology of ARTMIP [@Shields2018], the proposed method is a "tracking" (Lagrangian approach) type, with length and shape geometrical requirements. It imposes no threshold on IVT/IWV, but instead imposes absolute @@ -84,13 +84,13 @@ detection methods included in ARTMIP, and the proposed method displays better correspondence between North Hemisphere AR tracks and storm tracks, better identification of the strong mid-latitude AR-related moisture transports, and longer AR track durations. The detailed comparison analysis is given in [@Xu2020], and -a more thorough description of the detection/tracking methods are given in [@Xu2020b]. +a more thorough description of the detection/tracking methods is given in [@Xu2020b]. `IPART` is therefore intended for researchers and students who are interested in the field of atmospheric river studies in the present day climate or future projections. -The `IPART` package includes a collection of Python functions/classes designed +The `IPART` package includes a collection of Python functions and classes designed for an analysis workflow covering the detection of ARs, the simplification of the AR's geographical location, to the subsequent tracking through time. The algorithms are implemented using the Python programming language as a wrapper