Can the GPM IMERG Final Product Accurately Represent MCSs’ Precipitation Characteristics over the Central and Eastern United States?

Mesoscale convective systems (MCSs) play an important role in water and energy cycles as they produce heavy rainfall and modify the radiative profile in the tropics and midlatitudes. An accurate representation of MCSs’ rainfall is therefore crucial in understanding their impact on the climate system...

Celý popis

Uložené v:
Podrobná bibliografia
Vydané v:Journal of hydrometeorology Ročník 21; číslo 1; s. 39 - 57
Hlavní autori: Cui, Wenjun, Dong, Xiquan, Xi, Baike, Feng, Zhe, Fan, Jiwen
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Boston American Meteorological Society 01.01.2020
Predmet:
Algorithms
Atmospheric precipitations
Bias
Climate
Climate system
Datasets
Diurnal
Diurnal cycle
Diurnal variations
ENVIRONMENTAL SCIENCES
Estimates
Evaporation
False alarms
Global precipitation
Heavy rainfall
Hydrologic cycle
Hydrology
Mean precipitation
Mesoscale convective systems
Mesoscale systems
Observatories
Performance evaluation
Pixels
Precipitation
Radar
Radars/Radar observations
Rain
Rainfall
Relative humidity
Satellite observations
Satellites
Seasonal distribution
Seasons
Sensors
Spatial distribution
SPECIAL Precipitation Measurement (GPM) COLLECTION
Studies
Tropical environments
United States > US
Eastern states
ISSN:1525-755X, 1525-7541
On-line prístup:Získať plný text
Tagy: Pridať tag
Žiadne tagy, Buďte prvý, kto otaguje tento záznam!
Abstract Mesoscale convective systems (MCSs) play an important role in water and energy cycles as they produce heavy rainfall and modify the radiative profile in the tropics and midlatitudes. An accurate representation of MCSs’ rainfall is therefore crucial in understanding their impact on the climate system. The V06B Integrated Multisatellite Retrievals from Global Precipitation Measurement (IMERG) half-hourly precipitation final product is a useful tool to study the precipitation characteristics of MCSs because of its global coverage and fine spatiotemporal resolutions. However, errors and uncertainties in IMERG should be quantified before applying it to hydrology and climate applications. This study evaluates IMERG performance on capturing and detecting MCSs’ precipitation in the central and eastern United States during a 3-yr study period against the radar-based Stage IV product. The tracked MCSs are divided into four seasons and are analyzed separately for both datasets. IMERG shows a wet bias in total precipitation but a dry bias in hourly mean precipitation during all seasons due to the false classification of nonprecipitating pixels as precipitating. These false alarm events are possibly caused by evaporation under the cloud base or the misrepresentation of MCS cold anvil regions as precipitating clouds by the algorithm. IMERG agrees reasonably well with Stage IV in terms of the seasonal spatial distribution and diurnal cycle of MCSs precipitation. A relative humidity (RH)- based correction has been applied to the IMERG precipitation product, which helps reduce the number of false alarm pixels and improves the overall performance of IMERG with respect to Stage IV.
AbstractList Mesoscale convective systems (MCSs) play an important role in water and energy cycles as they produce heavy rainfall and modify the radiative profile in the tropics and midlatitudes. An accurate representation of MCSs’ rainfall is therefore crucial in understanding their impact on the climate system. The V06B Integrated Multisatellite Retrievals from Global Precipitation Measurement (IMERG) half-hourly precipitation final product is a useful tool to study the precipitation characteristics of MCSs because of its global coverage and fine spatiotemporal resolutions. However, errors and uncertainties in IMERG should be quantified before applying it to hydrology and climate applications. This study evaluates IMERG performance on capturing and detecting MCSs’ precipitation in the central and eastern United States during a 3-yr study period against the radar-based Stage IV product. The tracked MCSs are divided into four seasons and are analyzed separately for both datasets. IMERG shows a wet bias in total precipitation but a dry bias in hourly mean precipitation during all seasons due to the false classification of nonprecipitating pixels as precipitating. These false alarm events are possibly caused by evaporation under the cloud base or the misrepresentation of MCS cold anvil regions as precipitating clouds by the algorithm. IMERG agrees reasonably well with Stage IV in terms of the seasonal spatial distribution and diurnal cycle of MCSs precipitation. A relative humidity (RH)-based correction has been applied to the IMERG precipitation product, which helps reduce the number of false alarm pixels and improves the overall performance of IMERG with respect to Stage IV.
Author Xi, Baike
Dong, Xiquan
Feng, Zhe
Cui, Wenjun
Fan, Jiwen
Author_xml – sequence: 1
  givenname: Wenjun
  surname: Cui
  fullname: Cui, Wenjun
– sequence: 2
  givenname: Xiquan
  surname: Dong
  fullname: Dong, Xiquan
– sequence: 3
  givenname: Baike
  surname: Xi
  fullname: Xi, Baike
– sequence: 4
  givenname: Zhe
  surname: Feng
  fullname: Feng, Zhe
– sequence: 5
  givenname: Jiwen
  surname: Fan
  fullname: Fan, Jiwen
BackLink https://www.osti.gov/biblio/1591969$$D View this record in Osti.gov
BookMark eNp9kbFOHDEURa2ISAGSOlUkK6kH_OyxZ1xFaFgWIlZBQKR0lsf2aL3a2Bvbi0SXKv_A7_ElMVlEkSKVX3HO1fO7B2gvxOAQeg_kCKDjx1_OF81pA7IhQNkRvEL7wClvOt7C3svMv79BBzmvCCGthH4f_R50wGXp8PxqgS8Ws-s5PvNBr_FVinZrCj4xZpt0cet7fO02yWUXCl4MN_nx10OFnPEbX3TxMeBhqZM2xSWfizcZxzuX_mYP1Uk1UweLZzpXIuBvwRdn8U11Xf78Fr2e9Dq7d8_vIbo9m90O583l1_nFcHLZGMZlaXoiwEqgVnS9sR23kyF0nDi4cRztCJMQbLQ9nQztKelaKnsh5MTHthXSCXaIPu5iY91QZVNXMEsTQ3CmKOASpJAV-rSDNin-3Lpc1CpuU71JVpRJ0tVrE1YpvqNMijknNynzfIf6Vb9WQNRTLarWok4VSPVUi4LqHf_jbZL_odP9f4wPO2OVS0wvOBWSMEkZ-wN_SZvN
CitedBy_id crossref_primary_10_1007_s00382_022_06226_z
crossref_primary_10_3390_rs13183676
crossref_primary_10_3390_atmos15070763
crossref_primary_10_1016_j_rse_2021_112754
crossref_primary_10_3390_rs14205085
crossref_primary_10_1016_j_atmosres_2020_105293
crossref_primary_10_3390_rs13142726
crossref_primary_10_3390_atmos12060687
crossref_primary_10_3390_rs14195032
crossref_primary_10_1007_s10346_021_01689_3
crossref_primary_10_1016_j_rse_2021_112417
crossref_primary_10_1016_j_jhydrol_2023_129890
crossref_primary_10_3389_frwa_2024_1296586
crossref_primary_10_3390_atmos15091042
crossref_primary_10_3390_geohazards5040060
crossref_primary_10_3390_rs13040622
crossref_primary_10_3390_rs13091745
crossref_primary_10_1029_2023JD038563
crossref_primary_10_1029_2023JD038740
crossref_primary_10_1007_s00704_024_05069_4
crossref_primary_10_1007_s00382_024_07114_4
crossref_primary_10_1007_s11069_022_05257_3
crossref_primary_10_1016_j_jhydrol_2022_128476
crossref_primary_10_1029_2020JD034202
crossref_primary_10_1002_asl_1152
crossref_primary_10_1016_j_atmosres_2023_106794
crossref_primary_10_1038_s41467_023_39465_7
crossref_primary_10_1177_03091333221133098
crossref_primary_10_1002_wea_4143
crossref_primary_10_1016_j_jhydrol_2024_131024
crossref_primary_10_1016_j_atmosres_2021_106014
crossref_primary_10_1002_gdj3_275
crossref_primary_10_1016_j_atmosres_2025_108311
crossref_primary_10_3390_atmos11060666
crossref_primary_10_1016_j_rse_2023_113490
crossref_primary_10_1029_2022GL102603
crossref_primary_10_1007_s00704_023_04676_x
crossref_primary_10_1029_2022JD037601
crossref_primary_10_3389_feart_2021_640043
crossref_primary_10_1007_s00382_025_07715_7
crossref_primary_10_1029_2023JD039045
crossref_primary_10_3390_rs14184557
crossref_primary_10_1175_MWR_D_20_0411_1
crossref_primary_10_1175_JHM_D_21_0106_1
Cites_doi 10.1029/2018MS001305
10.1016/j.jhydrol.2015.12.008
10.3390/rs8020135
10.1175/JHM-D-15-0051.1
10.1175/JHM-D-15-0186.1
10.1029/2009JD011949
10.1002/qj.2174
10.1175/JHM-D-16-0187.1
10.1175/JAMC-D-16-0174.1
10.1016/j.advwatres.2015.11.008
10.1002/qj.3218
10.5194/hess-21-589-2017
10.1175/JHM-D-13-048.1
10.3390/rs8060472
10.1175/JHM-D-16-0087.1
10.1029/2019GL082414
10.1029/2019JD030330
10.1175/MWR2899.1
10.1175/JCLI-D-15-0551.1
10.1175/JCLI-D-19-0137.1
10.1175/1525-7541(2004)005<0487:CAMTPG>2.0.CO;2
10.3390/atmos9040138
10.1175/MWR3200.1
10.1175/JCLI-D-13-00628.1
10.1175/1520-0477(2001)082<0205:ARTGHH>2.3.CO;2
10.1175/JHM560.1
10.1175/1520-0493(2001)129<3413:OMOMMC>2.0.CO;2
10.1080/01431161.2018.1539274
10.1175/JTECH-D-15-0039.1
10.1016/j.jhydrol.2016.01.029
10.1175/1520-0450(1986)025<1333:TCOMCW>2.0.CO;2
10.1175/JHM-D-17-0161.1
10.1029/2010JD014741
10.5194/hess-21-6559-2017
10.1029/2004RG000150
10.1007/s00704-013-0860-x
10.1175/WAF900.1
10.1038/ncomms13429
10.1175/JHM-D-16-0079.1
10.3390/rs11060677
10.1175/BAMS-D-13-00164.1
10.1175/MWR-D-15-0242.1
10.1002/hyp.9779
10.1175/MWR-D-12-00112.1
10.1002/2016JD025418
10.1175/JHM-D-15-0235.1
10.1175/MWR-D-14-00100.1
10.1175/JHM-D-16-0174.1
10.1016/j.atmosres.2017.06.020
ContentType Journal Article
Copyright 2020 American Meteorological Society
Copyright American Meteorological Society Jan 2020
Copyright_xml – notice: 2020 American Meteorological Society
– notice: Copyright American Meteorological Society Jan 2020
CorporateAuthor Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
CorporateAuthor_xml – name: Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
DBID AAYXX
CITATION
7QH
7TG
7UA
AEUYN
AFKRA
BENPR
BHPHI
BKSAR
C1K
CCPQU
DWQXO
F1W
H96
HCIFZ
KL.
L.G
PCBAR
PHGZM
PHGZT
PKEHL
PQEST
PQQKQ
PQUKI
PRINS
OTOTI
DOI 10.1175/JHM-D-19-0123.1
DatabaseName CrossRef
Aqualine
Meteorological & Geoastrophysical Abstracts
Water Resources Abstracts
ProQuest One Sustainability
ProQuest Central UK/Ireland
ProQuest Central
Natural Science Collection
Earth, Atmospheric & Aquatic Science Collection
Environmental Sciences and Pollution Management
ProQuest One Community College
ProQuest Central
ASFA: Aquatic Sciences and Fisheries Abstracts
Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources
SciTech Premium Collection
Meteorological & Geoastrophysical Abstracts - Academic
Aquatic Science & Fisheries Abstracts (ASFA) Professional
Earth, Atmospheric & Aquatic Science Database
Proquest Central Premium
ProQuest One Academic
ProQuest One Academic Middle East (New)
ProQuest One Academic Eastern Edition (DO NOT USE)
ProQuest One Academic (retired)
ProQuest One Academic UKI Edition
ProQuest Central China
OSTI.GOV
DatabaseTitle CrossRef
Aquatic Science & Fisheries Abstracts (ASFA) Professional
ProQuest One Academic Middle East (New)
ProQuest One Academic Eastern Edition
Earth, Atmospheric & Aquatic Science Database
SciTech Premium Collection
ProQuest One Community College
Aqualine
ProQuest Central China
Water Resources Abstracts
Environmental Sciences and Pollution Management
Earth, Atmospheric & Aquatic Science Collection
ProQuest Central
ProQuest One Sustainability
Meteorological & Geoastrophysical Abstracts
Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources
ProQuest One Academic UKI Edition
Natural Science Collection
ProQuest Central Korea
ASFA: Aquatic Sciences and Fisheries Abstracts
ProQuest One Academic
ProQuest Central (New)
Meteorological & Geoastrophysical Abstracts - Academic
ProQuest One Academic (New)
DatabaseTitleList
Aquatic Science & Fisheries Abstracts (ASFA) Professional

CrossRef
Database_xml – sequence: 1
  dbid: BENPR
  name: ProQuest Central - New (Subscription)
  url: https://www.proquest.com/central
  sourceTypes: Aggregation Database
DeliveryMethod fulltext_linktorsrc
Discipline Geography
Meteorology & Climatology
Environmental Sciences
EISSN 1525-7541
EndPage 57
ExternalDocumentID 1591969
10_1175_JHM_D_19_0123_1
26903923
GeographicLocations United States--US
Eastern states
GeographicLocations_xml – name: Eastern states
– name: United States--US
GroupedDBID 4.4
4P2
5GY
8CJ
8FE
8FH
AAEFR
ABBHK
ABDBF
ABDNZ
ABXSQ
ACUHS
AEKFB
AENEX
AEUPB
AEUYN
AFKRA
AFRAH
AGFAN
ALMA_UNASSIGNED_HOLDINGS
ALQLQ
BENPR
BHPHI
BKSAR
CCPQU
CS3
D1J
E3Z
EAD
EAP
EBS
ECGQY
EDH
EMK
EPL
EST
ESX
FRP
H13
HCIFZ
I-F
IZHOT
JAAYA
JENOY
JKQEH
JLEZI
JLXEF
JPL
JST
LK5
M7R
MV1
OK1
P2P
PCBAR
PHGZM
PHGZT
RWA
RWE
SA0
SJN
SWMRO
TUS
~02
2WC
AAYXX
ACYGS
ADULT
AFFHD
BANNL
C1A
CAG
CITATION
COF
EJD
TR2
VOH
7QH
7TG
7UA
C1K
DWQXO
F1W
H96
KL.
L.G
PKEHL
PQEST
PQQKQ
PQUKI
PRINS
ABPTK
ADBSO
AIRJO
EQZMY
JSODD
OTOTI
ID FETCH-LOGICAL-c359t-8061d912d678cd75dfc02bf51ebbbdb1f663bd82fc282074298669f5b4469e63
IEDL.DBID BENPR
ISICitedReferencesCount 76
ISICitedReferencesURI http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=000507870800001&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
ISSN 1525-755X
IngestDate Fri May 19 01:42:22 EDT 2023
Mon Jun 30 14:12:28 EDT 2025
Tue Nov 18 22:15:00 EST 2025
Sat Nov 29 06:13:18 EST 2025
Thu Jun 19 22:08:36 EDT 2025
IsDoiOpenAccess false
IsOpenAccess true
IsPeerReviewed true
IsScholarly true
Issue 1
Language English
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-c359t-8061d912d678cd75dfc02bf51ebbbdb1f663bd82fc282074298669f5b4469e63
Notes ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
AC05-76RL01830; SC0017015
PNNL-SA-149317
USDOE Office of Science (SC), Biological and Environmental Research (BER)
OpenAccessLink https://journals.ametsoc.org/downloadpdf/journals/hydr/21/1/jhm-d-19-0123.1.pdf
PQID 2390711703
PQPubID 2044567
PageCount 19
ParticipantIDs osti_scitechconnect_1591969
proquest_journals_2390711703
crossref_citationtrail_10_1175_JHM_D_19_0123_1
crossref_primary_10_1175_JHM_D_19_0123_1
jstor_primary_26903923
PublicationCentury 2000
PublicationDate 20200101
2020-01-00
2020-01-01
PublicationDateYYYYMMDD 2020-01-01
PublicationDate_xml – month: 1
  year: 2020
  text: 20200101
  day: 1
PublicationDecade 2020
PublicationPlace Boston
PublicationPlace_xml – name: Boston
– name: United States
PublicationTitle Journal of hydrometeorology
PublicationYear 2020
Publisher American Meteorological Society
Publisher_xml – name: American Meteorological Society
References Huffman (2020062005341807900_bib24) 2019
Beck (2020062005341807900_bib4) 2017; 21
Benjamin (2020062005341807900_bib5) 2016; 144
Petković (2020062005341807900_bib38) 2017; 56
O (2020062005341807900_bib36) 2017; 21
Asong (2020062005341807900_bib3) 2017; 18
Lin (2020062005341807900_bib31) 2005
O (2020062005341807900_bib35) 2018; 144
Wang (2020062005341807900_bib53) 2017; 196
Aslami (2020062005341807900_bib2) 2019; 40
Schneider (2020062005341807900_bib44) 2014; 115
Feng (2020062005341807900_bib12) 2016; 7
Prakash (2020062005341807900_bib40) 2018; 556
AghaKouchak (2020062005341807900_bib1) 2011; 116
Kidd (2020062005341807900_bib28) 2016; 17
Houze (2020062005341807900_bib22) 2019; 46
Mazzoglio (2020062005341807900_bib32) 2019; 11
Mehran (2020062005341807900_bib33) 2014; 28
Romine (2020062005341807900_bib42) 2013; 141
Janowiak (2020062005341807900_bib26) 2001; 82
Cui (2020062005341807900_bib10) 2019; 124
Feng (2020062005341807900_bib14) 2019; 32
Tian (2020062005341807900_bib51) 2018; 19
Tan (2020062005341807900_bib49) 2017; 18
Xu (2020062005341807900_bib54) 2017; 122
Sharifi (2020062005341807900_bib46) 2016; 8
Joyce (2020062005341807900_bib27) 2004; 5
Parker (2020062005341807900_bib37) 2000; 128
Schumacher (2020062005341807900_bib45) 2005; 133
Schumacher (2020062005341807900_bib58) 2006; 21
Houze (2020062005341807900_bib20) 2004; 42
Feng (2020062005341807900_bib13) 2018; 10
Fiolleau (2020062005341807900_bib15) 2013; 139
Houze (2020062005341807900_bib21) 2019
Huffman (2020062005341807900_bib23) 2007; 8
Gaona (2020062005341807900_bib17) 2016; 17
Cui (2020062005341807900_bib8) 2016; 17
Hou (2020062005341807900_bib19) 2014; 95
Tang (2020062005341807900_bib50) 2016; 533
Heidke (2020062005341807900_bib56) 1926; 8
Prakash (2020062005341807900_bib39) 2016; 88
Romine (2020062005341807900_bib43) 2014; 142
Bouniol (2020062005341807900_bib6) 2016; 29
Chen (2020062005341807900_bib7) 2016; 8
Huffman (2020062005341807900_bib25) 2019
2020062005341807900_bib18
Adler (2020062005341807900_bib55) 2018; 9
Kummerow (2020062005341807900_bib57) 2015; 32
Nesbitt (2020062005341807900_bib34) 2006; 134
Smalley (2020062005341807900_bib47) 2014; 15
Tian (2020062005341807900_bib52) 2009; 114
Kuligowski (2020062005341807900_bib29) 2016; 17
Roca (2020062005341807900_bib41) 2014; 27
Fritsch (2020062005341807900_bib16) 1986; 25
Tan (2020062005341807900_bib48) 2016; 17
References_xml – volume: 10
  start-page: 1470
  year: 2018
  ident: 2020062005341807900_bib13
  article-title: Structure and evolution of mesoscale convective systems: Sensitivity to cloud microphysics in convection-permitting simulations over the United States
  publication-title: J. Adv. Model. Earth Syst.
  doi: 10.1029/2018MS001305
– volume: 533
  start-page: 152
  year: 2016
  ident: 2020062005341807900_bib50
  article-title: Evaluation of GPM Day-1 IMERG and TMPA version-7 legacy products over mainland China at multiple spatiotemporal scales
  publication-title: J. Hydrol.
  doi: 10.1016/j.jhydrol.2015.12.008
– volume: 8
  start-page: 135
  year: 2016
  ident: 2020062005341807900_bib46
  article-title: Assessment of GPM-IMERG and other precipitation products against gauge data under different topographic and climatic conditions in Iran: Preliminary results
  publication-title: Remote Sens.
  doi: 10.3390/rs8020135
– volume: 8
  start-page: 301
  year: 1926
  ident: 2020062005341807900_bib56
  article-title: Berechnung des Erfolges und der Gute der Windstarkevorhersagen im Sturmwarnungsdienst (Measures of success and goodness of wind force forecasts by the gale-warning service)
  publication-title: Geogr. Ann.
– volume: 17
  start-page: 383
  year: 2016
  ident: 2020062005341807900_bib28
  article-title: Global precipitation estimates from cross-track passive microwave observations using a physically based retrieval scheme
  publication-title: J. Hydrometeor.
  doi: 10.1175/JHM-D-15-0051.1
– volume: 17
  start-page: 1693
  year: 2016
  ident: 2020062005341807900_bib29
  article-title: Improvements to the GOES-R rainfall rate algorithm
  publication-title: J. Hydrometeor.
  doi: 10.1175/JHM-D-15-0186.1
– volume: 114
  start-page: D24101
  year: 2009
  ident: 2020062005341807900_bib52
  article-title: Component analysis of errors in satellite-based precipitation estimates
  publication-title: J. Geophys. Res.
  doi: 10.1029/2009JD011949
– volume: 139
  start-page: 941
  year: 2013
  ident: 2020062005341807900_bib15
  article-title: Composite life cycle of tropical mesoscale convective systems from geostationary and low Earth orbit satellite observations: Method and sampling considerations
  publication-title: Quart. J. Roy. Meteor. Soc.
  doi: 10.1002/qj.2174
– volume: 18
  start-page: 1033
  year: 2017
  ident: 2020062005341807900_bib3
  article-title: Evaluation of Integrated Multisatellite Retrievals for GPM (IMERG) over southern Canada against ground precipitation observations: A preliminary assessment
  publication-title: J. Hydrometeor.
  doi: 10.1175/JHM-D-16-0187.1
– volume: 56
  start-page: 597
  year: 2017
  ident: 2020062005341807900_bib38
  article-title: Understanding the sources of satellite passive microwave rainfall retrieval systematic errors over land
  publication-title: J. Appl. Meteor. Climatol.
  doi: 10.1175/JAMC-D-16-0174.1
– volume: 88
  start-page: 1
  year: 2016
  ident: 2020062005341807900_bib39
  article-title: From TRMM to GPM: How well can heavy rainfall be detected from space?
  publication-title: Adv. Water Resour.
  doi: 10.1016/j.advwatres.2015.11.008
– volume: 144
  start-page: 270
  year: 2018
  ident: 2020062005341807900_bib35
  article-title: Evaluation of diurnal variation of GPM IMERG-derived summer precipitation over the contiguous US using MRMS data
  publication-title: Quart. J. Roy. Meteor. Soc
  doi: 10.1002/qj.3218
– volume: 21
  start-page: 589
  year: 2017
  ident: 2020062005341807900_bib4
  article-title: MSWEP: 3-hourly 0.25° global gridded precipitation (1979–2015) by merging gauge, satellite, and reanalysis data
  publication-title: Hydrol. Earth Syst. Sci
  doi: 10.5194/hess-21-589-2017
– volume: 15
  start-page: 444
  year: 2014
  ident: 2020062005341807900_bib47
  article-title: A comparison of precipitation occurrence from the NCEP Stage IV QPE product and the CloudSat Cloud Profiling Radar
  publication-title: J. Hydrometeor.
  doi: 10.1175/JHM-D-13-048.1
– volume: 8
  start-page: 472
  year: 2016
  ident: 2020062005341807900_bib7
  article-title: Evaluation of IMERG and TRMM 3B43 monthly precipitation products over mainland China
  publication-title: Remote Sens.
  doi: 10.3390/rs8060472
– volume: 17
  start-page: 2799
  year: 2016
  ident: 2020062005341807900_bib17
  article-title: First-year evaluation of GPM rainfall over the Netherlands: IMERG day 1 final run (V03D)
  publication-title: J. Hydrometeor.
  doi: 10.1175/JHM-D-16-0087.1
– volume: 46
  start-page: 4059
  year: 2019
  ident: 2020062005341807900_bib22
  article-title: Extreme convective storms over high-latitude continental areas where maximum warming is occurring
  publication-title: Geophys. Res. Lett.
  doi: 10.1029/2019GL082414
– volume: 124
  start-page: 4121
  year: 2019
  ident: 2020062005341807900_bib10
  article-title: Understanding ice cloud-precipitation properties of three modes of mesoscale convective systems during PECAN
  publication-title: J. Geophys. Res. Atmos.
  doi: 10.1029/2019JD030330
– volume: 133
  start-page: 961
  year: 2005
  ident: 2020062005341807900_bib45
  article-title: Organization and environmental properties of extreme-rain-producing mesoscale convective systems
  publication-title: Mon. Wea. Rev.
  doi: 10.1175/MWR2899.1
– volume: 29
  start-page: 3353
  year: 2016
  ident: 2020062005341807900_bib6
  article-title: Macrophysical, microphysical, and radiative properties of tropical mesoscale convective systems over their life cycle
  publication-title: J. Climate
  doi: 10.1175/JCLI-D-15-0551.1
– volume: 32
  start-page: 7303
  year: 2019
  ident: 2020062005341807900_bib14
  article-title: Spatiotemporal characteristics and large-scale environments of mesoscale convective systems east of the Rocky Mountains
  publication-title: J. Climate
  doi: 10.1175/JCLI-D-19-0137.1
– volume: 5
  start-page: 487
  year: 2004
  ident: 2020062005341807900_bib27
  article-title: CMORPH: A method that produces global precipitation estimates from passive microwave and infrared data at high spatial and temporal resolution
  publication-title: J. Hydrometeor.
  doi: 10.1175/1525-7541(2004)005<0487:CAMTPG>2.0.CO;2
– volume: 9
  start-page: 138
  year: 2018
  ident: 2020062005341807900_bib55
  article-title: The Global Precipitation Climatology Project (GPCP) monthly analysis (new version 2.3) and a review of 2017 global precipitation
  publication-title: Atmosphere
  doi: 10.3390/atmos9040138
– volume: 134
  start-page: 2702
  year: 2006
  ident: 2020062005341807900_bib34
  article-title: Storm morphology and rainfall characteristics of TRMM precipitation features
  publication-title: Mon. Wea. Rev.
  doi: 10.1175/MWR3200.1
– volume: 27
  start-page: 4952
  year: 2014
  ident: 2020062005341807900_bib41
  article-title: Robust observational quantification of the contribution of mesoscale convective systems to rainfall in the tropics
  publication-title: J. Climate
  doi: 10.1175/JCLI-D-13-00628.1
– volume: 82
  start-page: 205
  year: 2001
  ident: 2020062005341807900_bib26
  article-title: A real-time global half-hourly pixel-resolution infrared dataset and its applications
  publication-title: Bull. Amer. Meteor. Soc.
  doi: 10.1175/1520-0477(2001)082<0205:ARTGHH>2.3.CO;2
– volume: 8
  start-page: 38
  year: 2007
  ident: 2020062005341807900_bib23
  article-title: The TRMM Multisatellite Precipitation Analysis (TMPA): Quasi-global, multiyear, combined-sensor precipitation estimates at fine scale
  publication-title: J. Hydrometeor.
  doi: 10.1175/JHM560.1
– year: 2019
  ident: 2020062005341807900_bib25
– volume: 128
  start-page: 3413
  year: 2000
  ident: 2020062005341807900_bib37
  article-title: Organizational modes of midlatitude mesoscale convective systems
  publication-title: Mon. Wea. Rev.
  doi: 10.1175/1520-0493(2001)129<3413:OMOMMC>2.0.CO;2
– ident: 2020062005341807900_bib18
– year: 2019
  ident: 2020062005341807900_bib21
  article-title: 100 years of research on mesoscale convective systems
  publication-title: A Century of Progress in Atmospheric and Related Sciences: Celebrating the American Meteorological Society Centennial, Meteor. Monogr
– volume: 40
  start-page: 3139
  year: 2019
  ident: 2020062005341807900_bib2
  article-title: Comprehensive comparison of daily IMERG and GSMaP satellite precipitation products in Ardabil Province, Iran
  publication-title: Int. J. Remote Sens.
  doi: 10.1080/01431161.2018.1539274
– volume: 32
  start-page: 2265
  year: 2015
  ident: 2020062005341807900_bib57
  article-title: The evolution of the Goddard profiling algorithm to a fully parametric scheme
  publication-title: J. Atmos. Oceanic Technol.
  doi: 10.1175/JTECH-D-15-0039.1
– volume: 556
  start-page: 865
  year: 2018
  ident: 2020062005341807900_bib40
  article-title: A preliminary assessment of GPM-based multi-satellite precipitation estimates over a monsoon dominated region
  publication-title: J. Hydrol.
  doi: 10.1016/j.jhydrol.2016.01.029
– volume: 25
  start-page: 1333
  year: 1986
  ident: 2020062005341807900_bib16
  article-title: The contribution of mesoscale convective weather systems to the warm-season precipitation in the United States
  publication-title: J. Climate Appl. Meteor.
  doi: 10.1175/1520-0450(1986)025<1333:TCOMCW>2.0.CO;2
– volume: 19
  start-page: 339
  year: 2018
  ident: 2020062005341807900_bib51
  article-title: How does the evaluation of the GPM IMERG rainfall product depend on gauge density and rainfall intensity?
  publication-title: J. Hydrometeor.
  doi: 10.1175/JHM-D-17-0161.1
– volume: 116
  start-page: D02115
  year: 2011
  ident: 2020062005341807900_bib1
  article-title: Evaluation of satellite-retrieved extreme precipitation rates across the central United States
  publication-title: J. Geophys. Res.
  doi: 10.1029/2010JD014741
– volume: 21
  start-page: 6559
  year: 2017
  ident: 2020062005341807900_bib36
  article-title: Evaluation of GPM IMERG Early, Late, and Final rainfall estimates using WegenerNet gauge data in southeastern Austria
  publication-title: Hydrol. Earth Syst. Sci.
  doi: 10.5194/hess-21-6559-2017
– volume: 42
  start-page: RG4003
  year: 2004
  ident: 2020062005341807900_bib20
  article-title: Mesoscale convective systems
  publication-title: Rev. Geophys.
  doi: 10.1029/2004RG000150
– volume: 115
  start-page: 15
  year: 2014
  ident: 2020062005341807900_bib44
  article-title: GPCC’s new land surface precipitation climatology based on quality-controlled in situ data and its role in quantifying the global water cycle
  publication-title: Theor. Appl. Climatol.
  doi: 10.1007/s00704-013-0860-x
– volume: 21
  start-page: 69
  year: 2006
  ident: 2020062005341807900_bib58
  article-title: Characteristics of U.S. extreme rain events during 1999–2003
  publication-title: Wea. Forecasting
  doi: 10.1175/WAF900.1
– volume: 7
  start-page: 13429
  year: 2016
  ident: 2020062005341807900_bib12
  article-title: More frequent intense and long-lived storms dominate the springtime trend in central US rainfall
  publication-title: Nat. Commun.
  doi: 10.1038/ncomms13429
– volume: 17
  start-page: 2477
  year: 2016
  ident: 2020062005341807900_bib48
  article-title: A novel approach to identify sources of errors in IMERG for GPM ground validation
  publication-title: J. Hydrometeor.
  doi: 10.1175/JHM-D-16-0079.1
– volume: 11
  start-page: 677
  year: 2019
  ident: 2020062005341807900_bib32
  article-title: Improving an extreme rainfall detection system with GPM IMERG data
  publication-title: Remote Sens.
  doi: 10.3390/rs11060677
– volume: 95
  start-page: 701
  year: 2014
  ident: 2020062005341807900_bib19
  article-title: The Global Precipitation Measurement mission
  publication-title: Bull. Amer. Meteor. Soc.
  doi: 10.1175/BAMS-D-13-00164.1
– volume: 144
  start-page: 1669
  year: 2016
  ident: 2020062005341807900_bib5
  article-title: A North American hourly assimilation and model forecast cycle: The Rapid Refresh
  publication-title: Mon. Wea. Rev.
  doi: 10.1175/MWR-D-15-0242.1
– volume: 28
  start-page: 2262
  year: 2014
  ident: 2020062005341807900_bib33
  article-title: Capabilities of satellite precipitation datasets to estimate heavy precipitation rates at different temporal accumulations
  publication-title: Hydrol. Processes
  doi: 10.1002/hyp.9779
– volume: 141
  start-page: 1263
  year: 2013
  ident: 2020062005341807900_bib42
  article-title: Model bias in a continuously cycled assimilated system and its influence of convection-permitting forecasts
  publication-title: Mon. Wea. Rev.
  doi: 10.1175/MWR-D-12-00112.1
– volume: 122
  start-page: 910
  year: 2017
  ident: 2020062005341807900_bib54
  article-title: Ground validation of GPM IMERG and TRMM 3B42V7 rainfall products over southern Tibetan Plateau based on a high-density rain gauge network
  publication-title: J. Geophys. Res. Atmos.
  doi: 10.1002/2016JD025418
– volume: 17
  start-page: 1837
  year: 2016
  ident: 2020062005341807900_bib8
  article-title: Comparison of the GPCP 1DD precipitation product and NEXRAD Q2 precipitation estimates over the continental United States
  publication-title: J. Hydrometeor.
  doi: 10.1175/JHM-D-15-0235.1
– volume: 142
  start-page: 4519
  year: 2014
  ident: 2020062005341807900_bib43
  article-title: Representing forecast error in a convection-permitting ensemble system
  publication-title: Mon. Wea. Rev.
  doi: 10.1175/MWR-D-14-00100.1
– start-page: 1.2
  year: 2005
  ident: 2020062005341807900_bib31
  article-title: The NCEP Stage II/IV hourly precipitation analyses: Development and applications
  publication-title: 19th Conf. on Hydrology
– volume: 18
  start-page: 307
  year: 2017
  ident: 2020062005341807900_bib49
  article-title: Performance of IMERG as a function of spatiotemporal scale
  publication-title: J. Hydrometeor.
  doi: 10.1175/JHM-D-16-0174.1
– year: 2019
  ident: 2020062005341807900_bib24
– volume: 196
  start-page: 151
  year: 2017
  ident: 2020062005341807900_bib53
  article-title: Evaluation of the GPM IMERG satellite-based precipitation products and the hydrological utility
  publication-title: Atmos. Res.
  doi: 10.1016/j.atmosres.2017.06.020
SSID ssj0004918
Score 2.5376565
Snippet Mesoscale convective systems (MCSs) play an important role in water and energy cycles as they produce heavy rainfall and modify the radiative profile in the...
SourceID osti
proquest
crossref
jstor
SourceType Open Access Repository
Aggregation Database
Enrichment Source
Index Database
Publisher
StartPage 39
SubjectTerms Algorithms
Atmospheric precipitations
Bias
Climate
Climate system
Datasets
Diurnal
Diurnal cycle
Diurnal variations
ENVIRONMENTAL SCIENCES
Estimates
Evaporation
False alarms
Global precipitation
Heavy rainfall
Hydrologic cycle
Hydrology
Mean precipitation
Mesoscale convective systems
Mesoscale systems
Observatories
Performance evaluation
Pixels
Precipitation
Radar
Radars/Radar observations
Rain
Rainfall
Relative humidity
Satellite observations
Satellites
Seasonal distribution
Seasons
Sensors
Spatial distribution
SPECIAL Precipitation Measurement (GPM) COLLECTION
Studies
Tropical environments
Title Can the GPM IMERG Final Product Accurately Represent MCSs’ Precipitation Characteristics over the Central and Eastern United States?
URI https://www.jstor.org/stable/26903923
https://www.proquest.com/docview/2390711703
https://www.osti.gov/biblio/1591969
Volume 21
WOSCitedRecordID wos000507870800001&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
journalDatabaseRights – providerCode: PRVPQU
  databaseName: Earth, Atmospheric & Aquatic Science Database
  customDbUrl:
  eissn: 1525-7541
  dateEnd: 20231207
  omitProxy: false
  ssIdentifier: ssj0004918
  issn: 1525-755X
  databaseCode: PCBAR
  dateStart: 20150201
  isFulltext: true
  titleUrlDefault: https://search.proquest.com/eaasdb
  providerName: ProQuest
– providerCode: PRVPQU
  databaseName: ProQuest Central - New (Subscription)
  customDbUrl:
  eissn: 1525-7541
  dateEnd: 20231207
  omitProxy: false
  ssIdentifier: ssj0004918
  issn: 1525-755X
  databaseCode: BENPR
  dateStart: 20150201
  isFulltext: true
  titleUrlDefault: https://www.proquest.com/central
  providerName: ProQuest
link http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV1Nb9NAEB1BigQXPgoVbgvaA0Jc3Gb9vaequGkLwlEUKpTbyrvrFZEiJyRppd448R_4e_wSZtabVhWCC0fLu5atHc-8mZ19D-BNmuS2zpQK47rfhAnREKJV2JB4XyJhk9i63fMvn_LhsJhMxMgX3Fa-rXLjE52jNnNNNfLDCJPznGRS4qPFt5BUo2h31Uto3IctYipLerD1fjAcjW9PRgpX4SORnzBP04kn98GYefjxvApPQjrCg877gN-JS11rInrpOf5nf3hpF3pOn_zvSz-Fxx50suPOSp7Bvabdhode__zr9TYEFWLn-dKV2NlbVs6mCGTd1XP4UdYtQ5jIzkYV-1ANxmeMRH1nbNSRxbJjrS-JcGJ2zcaurxbjGKvKz6tf33_ioEZPF54InJV36aEZ9Y-6Z_siM6tbwwa1I29gHRxmHRw-egEXp4OL8jz06g2hjlOxxtCXcSN4ZDAcapOnxup-pGzKG6WUUdwi1lGmiKzGrI8ydFFkmbCpwgRVNFm8A7123jYvgdlcRYXtxxhlTZLVohC1VjyvY6uMiLgK4GCzdFL7DyKBjZl0GU6eSlxreSK5kLTWkgfw7mbCoiP1-PvQHWcLN-OiTPQRU8YB7JFxSAQqxLarqS1JryWiQyIcCmB_YxDSO4WVvLWG3X_f3oNHEaX1rtKzD7318rJ5BQ_01Xq6Wr72Nv4baL8EDA
linkProvider ProQuest
linkToHtml http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMw1V1Nb9MwGH41NqRx4WMwLWyADzBxydY4zYcPCJW0W8uaqioV6s2KnVhUqtLSdqDeOPEf-BH8KX4Jrx1n04TgtgPHKI6lJI_fL79-HoCXQTNSWSiE62eNwm1qGkJEhXI17wtlqukrs3v-sR8NBvFkwoZb8LM-C6PbKmubaAx1Ppe6Rn5KMTmPtExKrVR9UWy-Yn62etNr4898RelZZ5x0XSsh4Eo_YGu0v6GXM4_maJNlHgW5kg0qVOAVQohceAodrshjqiSmHjpNZHEYMhUIzJJYEfo47fHis6tFqvRmrlXsuAM7ccgCXFY7w-Rda3R9EJOZgqLWFHKjIJhYLiF00afvu6nbdvWJIfQVJ94NN1h1QqJTmOOy_sMpGE939uA_-0YP4b4NqUmrWgOPYKso92DXqrt_2uyBk2JmMF-aDQRyTJLZFMN0c_UYvidZSTAIJufDlPTSzuicaMniGRlWVLikJeWlptOYbcjIdA2jlyZp8mH169sPHFTI6cLSnJPkJvk10d2xZm5bQidZmZNOZqgpSBXskyrYf_sExrfx0fZhu5yXxQEQFQkaq4aPMUTeDDMWs0wKL8p8JXJGPeHASY0ULu0LafmQGTf5WxRwhBZvc49xDS3uOfD66oFFRVny96H7BnpX42jIGhgx-w4caixyDMM0l7DUTVdyzTH21XRKDhzV-OPW5K34Nfie_vv2C9jtjtM-7_cGF4dwj-oChqlpHcH2enlZPIO78st6ulo-t8uLAL9l_P4G-ENftA
linkToPdf http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMw1V3NbtNAEB6VFEEv_BQqTAvsARAXN_E6_tkDqoqTtKF1ZIWqym3lXXtFpMhJkxSUGyfegUfhdXgSZtebVhWCWw8cLa9Xsv3tzHyzs98AvA7akcpDIVw_b5VuW8sQIiqUq3VfKFNtX5nd8_PTaDCIRyOWbcDP9VkYXVa5tonGUBdTqXPkTYrkPNJtUvymsmURWad3MLtwdQcpvdO6bqdRQ-SkXH1F-rZ43-_gv35Daa97lhy7tsOAK_2ALdE8h17BPFqgyZZFFBRKtqhQgVcKIQrhKfTHooipkshMNItkcRgyFQgkUawMfZz2DmxGGGMEDdj80B1kw-tDmcwkF3V_ITcKgpHVFUJ33fx4nLodV58eQr-x791wiXVVJDqIKS7xPxyE8Xq9h__x93oED2yoTQ7rtfEYNspqG-7bru-fV9vgpMgYpnOzsUDekmQyxvDdXD2B70leEQyOyVGWkn7aHR4R3cp4QrJaIpccSnmpZTYmKzI01cTovUmafFr8-vYDB5VyPLPy5yS5KYpNdNWsmdum1kleFaSbG8kKUpMAUpOAg6dwdhtfaAca1bQqnwFRkaCxavkYWxTtMGcxy6XwotxXomDUEw7sr1HDpX0h3VZkwg2viwKOMOMd7jGuYcY9B95dPTCrpUz-PnTHwPBqHA1ZC1HuO7CrcckxPNMaw1IXY8klx5hYyyw5sLfGIremcMGvgfj837dfwT1EKD_tD052YYvqvIZJde1BYzm_LF_AXfllOV7MX9qVRoDfMlZ_A2HlaIs
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Can+the+GPM+IMERG+Final+Product+Accurately+Represent+MCSs%E2%80%99+Precipitation+Characteristics+over+the+Central+and+Eastern+United+States%3F&rft.jtitle=Journal+of+hydrometeorology&rft.au=Cui%2C+Wenjun&rft.au=Dong%2C+Xiquan&rft.au=Xi%2C+Baike&rft.au=Feng%2C+Zhe&rft.date=2020-01-01&rft.pub=American+Meteorological+Society&rft.issn=1525-755X&rft.eissn=1525-7541&rft.volume=21&rft.issue=1&rft_id=info:doi/10.1175%2FJHM-D-19-0123.1&rft.externalDocID=1591969
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1525-755X&client=summon
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1525-755X&client=summon
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1525-755X&client=summon