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J. González-Rouco, J. Jimenez, V. Quesada, F. Valero (2001)
Quality Control and Homogeneity of Precipitation Data in the Southwest of EuropeJournal of Climate, 14
F. Acquaotta, S. Fratianni, V. Venema (2016)
Assessment of parallel precipitation measurements networks in Piedmont, ItalyInternational Journal of Climatology, 36
S. Terzago, S. Fratianni, R. Cremonini (2013)
Winter precipitation in Western Italian Alps (1926–2010)Meteorology and Atmospheric Physics, 119
S Terzago, S Fratianni, R Cremonini (2013)
Winter precipitation in Western Italian Alps (1926–2010) trends and connections with the North Atlantic/Arctic OscillationMeteorog Atmos Phys, 119
(2012)
Analysis of snow precipitation during the period 200009 and evaluation of a snow cover algorithm in SW Italian Alps
P. Sen (1968)
Estimates of the Regression Coefficient Based on Kendall's TauJournal of the American Statistical Association, 63
(2003)
Guidelines on climate metadata and homogenization
TR Karl, C Williams (1987)
An approach to adjusting climatological time series for discontinuous inhomogeneitiesJ Clim Appl Meteorol, 26
F. Isotta, C. Frei, Viktor Weilguni, Melita Tadić, P. Lassègues, B. Rudolf, V. Pavan, C. Cacciamani, G. Antolini, S. Ratto, M. Munari, S. Micheletti, Veronica Bonati, C. Lussana, C. Ronchi, Elvio Panettieri, Gianni Marigo, G. Vertačnik (2014)
The climate of daily precipitation in the Alps: development and analysis of a high‐resolution grid dataset from pan‐Alpine rain‐gauge dataInternational Journal of Climatology, 34
B. Sevruk, M. Ondrás, B. Chvíla (2009)
The WMO precipitation measurement intercomparisonsAtmospheric Research, 92
(1996)
weather to atmospheric circulation using a regionalized dataset, final report
S. Terzago, C. Cassardo, R. Cremonini, S. Fratianni (2010)
Snow Precipitation and Snow Cover Climatic Variability for the Period 1971–2009 in the Southwestern Italian Alps: The 2008–2009 Snow Season Case StudyWater, 2
(2013)
09 and evaluation of a snow cover algorithm in SW Italian Alps
S. Terzago, R. Cremonini, C. Cassardo, S. Fratianni (2012)
ANALYSIS OF SNOW PRECIPITATION DURING THE PERIOD 2000-09 AND EVALUATION OF A MSG/SEVIRI SNOW COVER ALGORITHM IN SW ITALIAN ALPSGeografia Fisica E Dinamica Quaternaria, 35
E. Mekis, L. Vincent (2011)
An Overview of the Second Generation Adjusted Daily Precipitation Dataset for Trend Analysis in CanadaAtmosphere-Ocean, 49
T. Karl, Claude Williams (1987)
An Approach to Adjusting Climatological Time Series for Discontinuous InhomogeneitiesJournal of Applied Meteorology, 26
W. Bodtmann, C. Ruthroff (1976)
The Measurement of 1 min Rain Rates from Weighing Raingage RecordingsJournal of Applied Meteorology, 15
A. Toreti, F. Desiato (2008)
Changes in temperature extremes over Italy in the last 44 yearsInternational Journal of Climatology, 28
(2009)
homogenization algorithms for monthly data
E. Milewska, W. Hogg (2002)
Continuity of climatological observations with automation ‐ temperature and precipitation amounts from AWOS (Automated Weather Observing System)Atmosphere-Ocean, 40
(2006)
THE DEVELOPMENT OF A NEW DAILY ADJUSTED TEMPERATURE DATASET FOR SPAIN ( 1850-2003 )
Xuebin Zhang, L. Vincent, W. Hogg, A. Niitsoo (2000)
Temperature and precipitation trends in Canada during the 20th centuryAtmosphere-Ocean, 38
(1998)
Reward : relating extreme weather to atmospheric circulation using a regionalized dataset , final report ( 1996 – 1998 )
V. Venema, O. Mestre, E. Aguilar, I. Auer, J. Guijarro, P. Domonkos, G. Vertačnik, T. Szentimrey, P. Štěpánek, P. Zahradníček, J. Viarre, G. Müller-Westermeier, M. Lakatos, Claude Williams, M. Menne, R. Lindau, D. Rasol, E. Rustemeier, K. Kolokythas, T. Marinova, L. Andresen, F. Acquaotta, S. Fratiannil, S. Cheval, M. Klančar, M. Brunetti, C. Gruber, M. Duran, Tanja Likso, P. Esteban, T. Brandsma, K. Willett (2012)
Benchmarking homogenization algorithms for monthly data, 1552
L. Lanza, E. Vuerich (2009)
The WMO Field Intercomparison of Rain Intensity GaugesAtmospheric Research, 94
(1994)
conditional merging for weather radars and rain gauges observations. Earth Science Informatics, ISSN 1865-0473
Thomas PETERSONa, David EASTERLINGa, Thomas KARLa, Pavel GROISMANa, Neville NICHOLLSb, N. PLUMMERb, Simon TOROKc, Ingeborg AUERd, R. Boehmd, Donald GULLETTe, Lucie VINCENTe, Raino HEINOf, Heikki TUOMENVIRTAf, Olivier MESTREg, Tamás SZENTIMREYh, James SALINGERi, Eirik FØRLANDj, Inger HANSSEN-BAUERj, Hans ALEXANDERSSONk, Philip JONESl, David PARKERm (1998)
Homogeneity adjustments of in situ atmospheric climate data: a reviewInternational Journal of Climatology, 18
(1994)
Climate in Finland during the period of meteorological observations
O. Göktürk, D. Bozkurt, Ö. Şen, M. Karaca (2008)
Quality control and homogeneity of Turkish precipitation dataHydrological Processes, 22
M. Brunet, Ò. Saladié, P. Jones, J. Sigró, Enric Aguilar, A. Moberg, D. Lister, A. Walther, Diego López, C. Almarza (2006)
The development of a new dataset of Spanish Daily Adjusted Temperature Series (SDATS) (1850–2003)International Journal of Climatology, 26
L. Zandonadi, F. Acquaotta, S. Fratianni, J. Zavattini (2016)
Changes in precipitation extremes in Brazil (Paraná River Basin)Theoretical and Applied Climatology, 123
(2016)
Assessment of the bias introduced by the automatisation of climate record combining climatological and meteorological
F. Acquaotta, S. Fratianni, C. Cassardo, Roberto Cremonini (2009)
On the continuity and climatic variability of the meteorological stations in Torino, Asti, Vercelli and OropaMeteorology and Atmospheric Physics, 103
Xiaolan Wang, Hanfeng Chen, Yuehua Wu, Yang Feng, Qiang Pu (2010)
New Techniques for the Detection and Adjustment of Shifts in Daily Precipitation Data SeriesJournal of Applied Meteorology and Climatology, 49
(2003)
Guidelines on climate metadata and homogenization. WMO-TD No. 1186, WCDMP No. 53, World Meteorological Organization, Geneva (Switzerland
(1989)
Catalogue of national standard precipitation gauge. WMO-TD No. 313, instruments and observing methods report No. 39, World Meteorological Organization, Geneva (Switzerland) 24 pp
B. Sevruk, L. Záhlavová (1994)
Classification system of precipitation gauge site exposure: Evaluation and applicationInternational Journal of Climatology, 14
N. Peleg, M. Ben-Asher, E. Morin (2013)
Radar subpixel-scale rainfall variability and uncertainty: lessons learned from observations of a dense rain-gauge networkHydrology and Earth System Sciences, 17
(2006)
On the statistical parameters calculated for the essential climatological variables during 2-years of parallel observations with automatic and classical stations in Romania
(2002)
Continuity of climatological observations with automation. Atmosphere-Ocean
D. Guenzi, S. Fratianni, R. Boraso, R. Cremonini (2017)
CondMerg: an open source implementation in R language of conditional merging for weather radars and rain gauges observationsEarth Science Informatics, 10
Elisa Giaccone, N. Colombo, F. Acquaotta, L. Paro, S. Fratianni (2015)
CLIMATE VARIATIONS IN A HIGH ALTITUDE ALPINE BASIN AND THEIR EFFECTS ON A GLACIAL ENVIRONMENT (ITALIAN WESTERN ALPS)Atmosfera, 28
E Milewska, WD Hogg (2002)
Continuity of climatological observations with automationAtmosphere-Ocean, 40
F. Acquaotta, S. Fratianni, D. Garzena (2015)
Temperature changes in the North-Western Italian Alps from 1961 to 2010Theoretical and Applied Climatology, 122
L. Vincent, E. Mekis (2009)
Discontinuities due to Joining Precipitation Station Observations in CanadaJournal of Applied Meteorology and Climatology, 48
L. Lanza, L. Stagi (2012)
Non-parametric error distribution analysis from the laboratory calibration of various rainfall intensity gauges.Water science and technology : a journal of the International Association on Water Pollution Research, 65 10
D. Parker (1994)
Effects of changing exposure of thermometers at land stationsInternational Journal of Climatology, 14
(1998)
Reward: relating extreme weather to atmospheric circulation using a regionalized dataset, final report
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.
Earth Science Informatics – Springer Journals
Published: Apr 4, 2017
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