Improvement in the capturing of short-range warm season orographic precipitation in the ECMWF model View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2009-03

AUTHORS

A. Orr, P. Bechtold

ABSTRACT

ECMWF short-range deterministic forecasts at T799 resolution (approximately 25 km horizontal resolution) of warm season convective precipitation over the Rockies and the Alps are compared with high-resolution observations. Both a former model cycle (30R1, operational in the first half of 2006, the first model version at resolution T799), and the most recent cycle (32R3) of the ECMWF Integrated Forecasting System (IFS) are investigated in order to assess the impact of substantial modifications to the model’s convection and radiation scheme on the precipitation forecasts. With 30R1, the strong diurnal cycle of precipitation over the Rocky Mountains is not captured. Significant improvements are obtained with 32R3, including the capturing of a nocturnal rainfall maximum over the Great Plains associated with organized propagating mesoscale convective systems. Part of the improvements are due to non-local feedbacks where increased convective mid-tropospheric heating leads to improved large-scale circulations (moisture advection) maintaining the convection. By contrast, over the Alps both versions of the IFS under/over estimate the precipitation for values smaller/larger than 10 mm/day. This reflects the different meteorology and the east-west orientation of the Alpine mountains, where compared to the Rockies more quasi–stationary convective systems form in a generally moister large-scale environment, and where the large-scale horizontal advection of moisture is less crucial. However, it is suggested that here the overestimation of precipitation is linked to excessive low-level blocking. More... »

PAGES

15-23

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s00703-008-0288-5

DOI

http://dx.doi.org/10.1007/s00703-008-0288-5

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1021302962


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

JSON-LD is the canonical representation for SciGraph data.

TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0401", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Atmospheric Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/04", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Earth Sciences", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "European Centre for Medium-Range Weather Forecasts", 
          "id": "https://www.grid.ac/institutes/grid.42781.38", 
          "name": [
            "European Centre for Medium-Range Weather Forecasts, Reading, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Orr", 
        "givenName": "A.", 
        "id": "sg:person.01216575310.62", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01216575310.62"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "European Centre for Medium-Range Weather Forecasts", 
          "id": "https://www.grid.ac/institutes/grid.42781.38", 
          "name": [
            "European Centre for Medium-Range Weather Forecasts, Reading, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Bechtold", 
        "givenName": "P.", 
        "id": "sg:person.010630563635.88", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010630563635.88"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1175/1520-0493(2003)131<2667:cowcri>2.0.co;2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003870969"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1175/1520-0434(1995)010<0498:eoyoqp>2.0.co;2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004173978"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1175/1520-0477(2001)082<0433:tmsop>2.3.co;2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011407458"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1256/qj.03.103", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016956446"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1175/1520-0493(1989)117<1779:acmfsf>2.0.co;2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020057497"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1175/1520-0469(2002)059<2033:iopaww>2.0.co;2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024652890"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1256/qj.03.89", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025479244"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1175/1520-0434(2002)017<0238:vopfot>2.0.co;2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026306554"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1175/1520-0493(1985)113<1458:ssfcon>2.0.co;2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031325748"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1175/1520-0493(1975)103<0406:dvipat>2.0.co;2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039350163"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/(sici)1097-0088(19980630)18:8<873::aid-joc255>3.0.co;2-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049448327"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2151/jmsj1965.64a.0_767", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1084387955"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2009-03", 
    "datePublishedReg": "2009-03-01", 
    "description": "ECMWF short-range deterministic forecasts at T799 resolution (approximately 25 km horizontal resolution) of warm season convective precipitation over the Rockies and the Alps are compared with high-resolution observations. Both a former model cycle (30R1, operational in the first half of 2006, the first model version at resolution T799), and the most recent cycle (32R3) of the ECMWF Integrated Forecasting System (IFS) are investigated in order to assess the impact of substantial modifications to the model\u2019s convection and radiation scheme on the precipitation forecasts. With 30R1, the strong diurnal cycle of precipitation over the Rocky Mountains is not captured. Significant improvements are obtained with 32R3, including the capturing of a nocturnal rainfall maximum over the Great Plains associated with organized propagating mesoscale convective systems. Part of the improvements are due to non-local feedbacks where increased convective mid-tropospheric heating leads to improved large-scale circulations (moisture advection) maintaining the convection. By contrast, over the Alps both versions of the IFS under/over estimate the precipitation for values smaller/larger than 10 mm/day. This reflects the different meteorology and the east-west orientation of the Alpine mountains, where compared to the Rockies more quasi\u2013stationary convective systems form in a generally moister large-scale environment, and where the large-scale horizontal advection of moisture is less crucial. However, it is suggested that here the overestimation of precipitation is linked to excessive low-level blocking.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s00703-008-0288-5", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1271293", 
        "issn": [
          "0177-7971", 
          "1436-5065"
        ], 
        "name": "Meteorology and Atmospheric Physics", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1-4", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "103"
      }
    ], 
    "name": "Improvement in the capturing of short-range warm season orographic precipitation in the ECMWF model", 
    "pagination": "15-23", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "657f72cee8057fc14762328b0c7ccc36286a5eedbf48290c03b80af2837a7fd8"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s00703-008-0288-5"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1021302962"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s00703-008-0288-5", 
      "https://app.dimensions.ai/details/publication/pub.1021302962"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T14:30", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000373_0000000373/records_13090_00000000.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1007/s00703-008-0288-5"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/s00703-008-0288-5'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s00703-008-0288-5'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00703-008-0288-5'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00703-008-0288-5'


 

This table displays all metadata directly associated to this object as RDF triples.

104 TRIPLES      21 PREDICATES      39 URIs      19 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s00703-008-0288-5 schema:about anzsrc-for:04
2 anzsrc-for:0401
3 schema:author N85289a625a354d8082ab95f524af44a6
4 schema:citation https://doi.org/10.1002/(sici)1097-0088(19980630)18:8<873::aid-joc255>3.0.co;2-9
5 https://doi.org/10.1175/1520-0434(1995)010<0498:eoyoqp>2.0.co;2
6 https://doi.org/10.1175/1520-0434(2002)017<0238:vopfot>2.0.co;2
7 https://doi.org/10.1175/1520-0469(2002)059<2033:iopaww>2.0.co;2
8 https://doi.org/10.1175/1520-0477(2001)082<0433:tmsop>2.3.co;2
9 https://doi.org/10.1175/1520-0493(1975)103<0406:dvipat>2.0.co;2
10 https://doi.org/10.1175/1520-0493(1985)113<1458:ssfcon>2.0.co;2
11 https://doi.org/10.1175/1520-0493(1989)117<1779:acmfsf>2.0.co;2
12 https://doi.org/10.1175/1520-0493(2003)131<2667:cowcri>2.0.co;2
13 https://doi.org/10.1256/qj.03.103
14 https://doi.org/10.1256/qj.03.89
15 https://doi.org/10.2151/jmsj1965.64a.0_767
16 schema:datePublished 2009-03
17 schema:datePublishedReg 2009-03-01
18 schema:description ECMWF short-range deterministic forecasts at T799 resolution (approximately 25 km horizontal resolution) of warm season convective precipitation over the Rockies and the Alps are compared with high-resolution observations. Both a former model cycle (30R1, operational in the first half of 2006, the first model version at resolution T799), and the most recent cycle (32R3) of the ECMWF Integrated Forecasting System (IFS) are investigated in order to assess the impact of substantial modifications to the model’s convection and radiation scheme on the precipitation forecasts. With 30R1, the strong diurnal cycle of precipitation over the Rocky Mountains is not captured. Significant improvements are obtained with 32R3, including the capturing of a nocturnal rainfall maximum over the Great Plains associated with organized propagating mesoscale convective systems. Part of the improvements are due to non-local feedbacks where increased convective mid-tropospheric heating leads to improved large-scale circulations (moisture advection) maintaining the convection. By contrast, over the Alps both versions of the IFS under/over estimate the precipitation for values smaller/larger than 10 mm/day. This reflects the different meteorology and the east-west orientation of the Alpine mountains, where compared to the Rockies more quasi–stationary convective systems form in a generally moister large-scale environment, and where the large-scale horizontal advection of moisture is less crucial. However, it is suggested that here the overestimation of precipitation is linked to excessive low-level blocking.
19 schema:genre research_article
20 schema:inLanguage en
21 schema:isAccessibleForFree false
22 schema:isPartOf N0415a5dec883451ca3456bce25776e66
23 N60d8021abca2465e9c68517877c1a57a
24 sg:journal.1271293
25 schema:name Improvement in the capturing of short-range warm season orographic precipitation in the ECMWF model
26 schema:pagination 15-23
27 schema:productId N40d135a9ae4d49b48c080c7e43ccc096
28 N608b4df065214579b479482fdb1edf0e
29 Na26ff9b1379e43638cb03abe1dfbcc2b
30 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021302962
31 https://doi.org/10.1007/s00703-008-0288-5
32 schema:sdDatePublished 2019-04-11T14:30
33 schema:sdLicense https://scigraph.springernature.com/explorer/license/
34 schema:sdPublisher N681b72bc6a454b2684f1ed2c9b529e20
35 schema:url http://link.springer.com/10.1007/s00703-008-0288-5
36 sgo:license sg:explorer/license/
37 sgo:sdDataset articles
38 rdf:type schema:ScholarlyArticle
39 N0415a5dec883451ca3456bce25776e66 schema:issueNumber 1-4
40 rdf:type schema:PublicationIssue
41 N40d135a9ae4d49b48c080c7e43ccc096 schema:name readcube_id
42 schema:value 657f72cee8057fc14762328b0c7ccc36286a5eedbf48290c03b80af2837a7fd8
43 rdf:type schema:PropertyValue
44 N464963e8016c42bbacea8938f98484c5 rdf:first sg:person.010630563635.88
45 rdf:rest rdf:nil
46 N608b4df065214579b479482fdb1edf0e schema:name dimensions_id
47 schema:value pub.1021302962
48 rdf:type schema:PropertyValue
49 N60d8021abca2465e9c68517877c1a57a schema:volumeNumber 103
50 rdf:type schema:PublicationVolume
51 N681b72bc6a454b2684f1ed2c9b529e20 schema:name Springer Nature - SN SciGraph project
52 rdf:type schema:Organization
53 N85289a625a354d8082ab95f524af44a6 rdf:first sg:person.01216575310.62
54 rdf:rest N464963e8016c42bbacea8938f98484c5
55 Na26ff9b1379e43638cb03abe1dfbcc2b schema:name doi
56 schema:value 10.1007/s00703-008-0288-5
57 rdf:type schema:PropertyValue
58 anzsrc-for:04 schema:inDefinedTermSet anzsrc-for:
59 schema:name Earth Sciences
60 rdf:type schema:DefinedTerm
61 anzsrc-for:0401 schema:inDefinedTermSet anzsrc-for:
62 schema:name Atmospheric Sciences
63 rdf:type schema:DefinedTerm
64 sg:journal.1271293 schema:issn 0177-7971
65 1436-5065
66 schema:name Meteorology and Atmospheric Physics
67 rdf:type schema:Periodical
68 sg:person.010630563635.88 schema:affiliation https://www.grid.ac/institutes/grid.42781.38
69 schema:familyName Bechtold
70 schema:givenName P.
71 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010630563635.88
72 rdf:type schema:Person
73 sg:person.01216575310.62 schema:affiliation https://www.grid.ac/institutes/grid.42781.38
74 schema:familyName Orr
75 schema:givenName A.
76 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01216575310.62
77 rdf:type schema:Person
78 https://doi.org/10.1002/(sici)1097-0088(19980630)18:8<873::aid-joc255>3.0.co;2-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049448327
79 rdf:type schema:CreativeWork
80 https://doi.org/10.1175/1520-0434(1995)010<0498:eoyoqp>2.0.co;2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004173978
81 rdf:type schema:CreativeWork
82 https://doi.org/10.1175/1520-0434(2002)017<0238:vopfot>2.0.co;2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026306554
83 rdf:type schema:CreativeWork
84 https://doi.org/10.1175/1520-0469(2002)059<2033:iopaww>2.0.co;2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024652890
85 rdf:type schema:CreativeWork
86 https://doi.org/10.1175/1520-0477(2001)082<0433:tmsop>2.3.co;2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011407458
87 rdf:type schema:CreativeWork
88 https://doi.org/10.1175/1520-0493(1975)103<0406:dvipat>2.0.co;2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039350163
89 rdf:type schema:CreativeWork
90 https://doi.org/10.1175/1520-0493(1985)113<1458:ssfcon>2.0.co;2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031325748
91 rdf:type schema:CreativeWork
92 https://doi.org/10.1175/1520-0493(1989)117<1779:acmfsf>2.0.co;2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020057497
93 rdf:type schema:CreativeWork
94 https://doi.org/10.1175/1520-0493(2003)131<2667:cowcri>2.0.co;2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003870969
95 rdf:type schema:CreativeWork
96 https://doi.org/10.1256/qj.03.103 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016956446
97 rdf:type schema:CreativeWork
98 https://doi.org/10.1256/qj.03.89 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025479244
99 rdf:type schema:CreativeWork
100 https://doi.org/10.2151/jmsj1965.64a.0_767 schema:sameAs https://app.dimensions.ai/details/publication/pub.1084387955
101 rdf:type schema:CreativeWork
102 https://www.grid.ac/institutes/grid.42781.38 schema:alternateName European Centre for Medium-Range Weather Forecasts
103 schema:name European Centre for Medium-Range Weather Forecasts, Reading, UK
104 rdf:type schema:Organization
 




Preview window. Press ESC to close (or click here)


...