CoRain: A free and open source software for rain series comparison

A good climatic analysis requires accurate and homogeneous daily precipitation series; unluckily, inhomogeneity is frequently found and have to be considered, especially when it is due to non-climatic parameters. CoRain is a free and open source software written in R language that could greatly help analyzing inhomogeneity caused by rainfall measuring instruments. CoRain compares two parallel rain series (with an overlapping period) and tries to highlight overestimations and underestimations due to rain gauges in a specific condition, so that the user can consider it for future analysis. CoRain offers many information on the two analyzed series, starting with cleaning input data, comparing them and classifying rainy days by severity. CoRain is a cross-platform software, easily adaptable to different needs, that takes in input a single text file with daily information of the two rain series and outputs tables (in CSV format) and plots (as PNG images) that help in the interpretation of the data. Use of the program is very simple: the execution can be either interactive or non-interactive. CoRain code has been tested on different rain series in the Piedmont region (northwestern Italy), showing its importance in identifying climate variations and instrumentation errors.

[1]  Claude N. Williams,et al.  An Approach to Adjusting Climatological Time Series for Discontinuous Inhomogeneities , 1987 .

[2]  D. Lister,et al.  The development of a new dataset of Spanish Daily Adjusted Temperature Series (SDATS) (1850–2003) , 2006 .

[3]  Simona Fratianni,et al.  Winter precipitation in Western Italian Alps (1926–2010) , 2013, Meteorology and Atmospheric Physics.

[4]  Andrea Toreti,et al.  Changes in temperature extremes over Italy in the last 44 years , 2008 .

[5]  Simona Fratianni,et al.  Assessment of parallel precipitation measurements networks in Piedmont, Italy , 2016 .

[6]  D. Easterling,et al.  Homogeneity adjustments of in situ atmospheric climate data: a review , 1998 .

[7]  THE DEVELOPMENT OF A NEW DAILY ADJUSTED TEMPERATURE DATASET FOR SPAIN ( 1850-2003 ) , 2006 .

[8]  M. Karaca,et al.  Quality control and homogeneity of Turkish precipitation data , 2008 .

[9]  Diego Guenzi,et al.  CondMerg: an open source implementation in R language of conditional merging for weather radars and rain gauges observations , 2017, Earth Science Informatics.

[10]  C. L. Ruthroff,et al.  The Measurement of 1 min Rain Rates from Weighing Raingage Recordings , 1976 .

[11]  David Parker,et al.  Effects of changing exposure of thermometers at land stations , 1994 .

[12]  Yuehua Wu,et al.  New Techniques for the Detection and Adjustment of Shifts in Daily Precipitation Data Series , 2010 .

[13]  Simona Fratianni,et al.  ANALYSIS OF SNOW PRECIPITATION DURING THE PERIOD 2000-09 AND EVALUATION OF A MSG/SEVIRI SNOW COVER ALGORITHM IN SW ITALIAN ALPS , 2012 .

[14]  Nadav Peleg,et al.  Radar subpixel-scale rainfall variability and uncertainty: lessons learned from observations of a dense rain-gauge network , 2013 .

[15]  Simona Fratianni,et al.  Temperature changes in the North-Western Italian Alps from 1961 to 2010 , 2015, Theoretical and Applied Climatology.

[16]  Simona Fratianni,et al.  Changes in precipitation extremes in Brazil (Paraná River Basin) , 2016, Theoretical and Applied Climatology.

[17]  C. Frei,et al.  The climate of daily precipitation in the Alps: development and analysis of a high‐resolution grid dataset from pan‐Alpine rain‐gauge data , 2014 .

[18]  P. Sen.  Estimates of the Regression Coefficient Based on Kendall's Tau , 1968 .

[19]  Éva Mekis,et al.  An Overview of the Second Generation Adjusted Daily Precipitation Dataset for Trend Analysis in Canada , 2011, Data, Models and Analysis.

[20]  L G Lanza,et al.  Non-parametric error distribution analysis from the laboratory calibration of various rainfall intensity gauges. , 2012, Water science and technology : a journal of the International Association on Water Pollution Research.

[21]  Xuebin Zhang,et al.  Temperature and precipitation trends in Canada during the 20th century , 2000, Data, Models and Analysis.

[22]  Éva Mekis,et al.  Discontinuities due to Joining Precipitation Station Observations in Canada , 2009 .

[23]  W. D. Hogg,et al.  Continuity of climatological observations with automation ‐ temperature and precipitation amounts from AWOS (Automated Weather Observing System) , 2002 .

[24]  Peter Domonkos,et al.  Benchmarking homogenization algorithms for monthly data , 2012 .

[25]  Francisco P. J. Valero,et al.  Quality Control and Homogeneity of Precipitation Data in the Southwest of Europe , 2001 .

[26]  B. Sevruk,et al.  Classification system of precipitation gauge site exposure: Evaluation and application , 1994 .

[27]  Boris Sevruk,et al.  The WMO precipitation measurement intercomparisons , 2009 .

[28]  Simona Fratianni,et al.  CLIMATE VARIATIONS IN A HIGH ALTITUDE ALPINE BASIN AND THEIR EFFECTS ON A GLACIAL ENVIRONMENT (ITALIAN WESTERN ALPS) , 2015 .

[29]  Simona Fratianni,et al.  Snow Precipitation and Snow Cover Climatic Variability for the Period 1971–2009 in the Southwestern Italian Alps: The 2008–2009 Snow Season Case Study , 2010 .

[30]  Simona Fratianni,et al.  On the continuity and climatic variability of the meteorological stations in Torino, Asti, Vercelli and Oropa , 2009 .

[31]  Luca G. Lanza,et al.  The WMO Field Intercomparison of Rain Intensity Gauges , 2009 .