This vignette demonstrates setting
a custom jNSMR.JAR_SUFFIX
to force use of the legacy Java
Newhall Model (version 1.6.1; released 2016/02/10). See official
download here: https://www.nrcs.usda.gov/resources/education-and-teaching-materials/java-newhall-simulation-model-jnsm.
Before we load the library, set the jNSMR.JAR_SUFFIX
option to indicate which JAR to load. The attach message indicates the
JAR version loaded.
Create a NewhallDataset with
xml_NewhallDataset()
or NewhallDataset()
and
associated NewhallDatasetMetadata with
NewhallDatasetMetadata()
.
library(jNSMR)
# read single-station XML file (NewhallDataset + NewhallDatasetMetadata)
input_xml_file <- system.file("extdata/WILLIAMSPORT_1930_1930_input.xml",
package = "jNSMR")[1]
input_xml <- xml_NewhallDataset(input_xml_file)
# or specify inputs directly to the constructor
input_direct <- NewhallDataset(stationName = "WILLIAMSPORT",
country = "US",
lat = 41.24,
lon = -76.92,
elev = 158.0,
allPrecipsDbl = c(44.2,40.39,113.54,96.77,95.0,98.55,
66.04,13.46,54.86,6.35,17.53,56.39),
allAirTempsDbl = c(-2.17,0.89,3.72,9.11,16.28,21.11,
22.83,21.94,19.78,10.5,5.33,-1.06),
pdbegin = 1930,
pdend = 1930,
smcsawc = 200.0)
# set minimal _NewhallDatasetMetadata_ for our constructed _NewhallDataset_
input_direct$setMetadata(NewhallDatasetMetadata(stationName = "WILLIAMSPORT"))
Here we demonstrate how to use the NewhallResults
object
from newhall_simulation()
to get various formatted
statistics, calendars and other output from a single run of the
model.
#> Number of Cumulative Days that the Moisture Control Section (MCS) is:
#> During one year is:
#> Dry: 67
#> MoistDry: 88
#> Moist: 205
#> When soil temp is above 5°C:
#> Dry: 48
#> MoistDry: 58
#> Moist: 118
#> Highest number of consecutive days that the MCS is:
#> Moist in some parts:
#> Year: 293
#> Temp over 8°C: 166
#> Dry after summer solstice: 22
#> Moist after winter solstice: 105
#> 222222222222222333333333333333
#> 333333333333333333333333333333
#> 333333333333333333333333333333
#> 333333333333333333333333333333
#> 333333333333333333333333333333
#> 333333333333333333333333333333
#> 333333333333333333333333333333
#> 333333333322222222222222222222
#> 222222222222222222222222222222
#> 222222221111111111111111111111
#> 111111111111111111111111111111
#> 111111111111111222222222222222
#> ------------------------------
#> ------------------------------
#> ------------------------------
#> ------------555555555588888888
#> 888888888888888888888888888888
#> 888888888888888888888888888888
#> 888888888888888888888888888888
#> 888888888888888888888888888888
#> 888888888888888888888888888888
#> 888888888888888888888888888888
#> 88888888888888555555555555----
#> ------------------------------
newhall_XMLStringResultsExporter()
returns a character
vector with XML based on an input and an output object.
#> <?xml version="1.0" encoding="UTF-8"?>
#> <model>
#> <metadata>
#> <stninfo>
#> <nettype>HCN</nettype>
#> <stnname>WILLIAMSPORT</stnname>
#> <stnid />
#> <stnelev>158.0</stnelev>
#> <stateprov>PA</stateprov>
#> <country>US</country>
#> </stninfo>
#> <mlra>
#> <mlraname />
#> <mlraid>0</mlraid>
#> </mlra>
#> <cntinfo>
#> <cntper>
#> <firstname>FirstName</firstname>
#> <lastname>LastName</lastname>
#> <title>Researcher</title>
#> </cntper>
#> <cntorg>My Organization</cntorg>
#> <cntaddr>
#> <address />
#> <city />
#> <stateprov />
#> <postal />
#> <country />
#> </cntaddr>
#> <cntemail />
#> <cntphone />
#> </cntinfo>
#> <notes>
#> <note>gaps filled by interpolation of neighboring stations</note>
#> </notes>
#> <rundate>20230723</rundate>
#> <nsmver>1.6.1</nsmver>
#> <srcunitsys>english</srcunitsys>
#> </metadata>
#> <input>
#> <location>
#> <lat>41.24</lat>
#> <lon>-76.92</lon>
#> <usercoordfmt>DD</usercoordfmt>
#> </location>
#> <recordpd>
#> <pdtype>normal</pdtype>
#> <pdbegin>1930</pdbegin>
#> <pdend>1930</pdend>
#> </recordpd>
#> <precips>
#> <precip id="Jan">44.2</precip>
#> <precip id="Feb">40.39</precip>
#> <precip id="Mar">113.54</precip>
#> <precip id="Apr">96.77</precip>
#> <precip id="May">95.0</precip>
#> <precip id="Jun">98.55</precip>
#> <precip id="Jul">66.04</precip>
#> <precip id="Aug">13.46</precip>
#> <precip id="Sep">54.86</precip>
#> <precip id="Oct">6.35</precip>
#> <precip id="Nov">17.53</precip>
#> <precip id="Dec">56.39</precip>
#> </precips>
#> <airtemps>
#> <airtemp id="Jan">-2.17</airtemp>
#> <airtemp id="Feb">0.89</airtemp>
#> <airtemp id="Mar">3.72</airtemp>
#> <airtemp id="Apr">9.11</airtemp>
#> <airtemp id="May">16.28</airtemp>
#> <airtemp id="Jun">21.11</airtemp>
#> <airtemp id="Jul">22.83</airtemp>
#> <airtemp id="Aug">21.94</airtemp>
#> <airtemp id="Sep">19.78</airtemp>
#> <airtemp id="Oct">10.5</airtemp>
#> <airtemp id="Nov">5.33</airtemp>
#> <airtemp id="Dec">-1.06</airtemp>
#> </airtemps>
#> <smcsawc>200.0</smcsawc>
#> <soilairrel>
#> <ampltd>0.66</ampltd>
#> <maatmast>1.2</maatmast>
#> </soilairrel>
#> </input>
#> <output>
#> <smrclass>Ustic</smrclass>
#> <strclass>Mesic</strclass>
#> <subgrpmod>Wet Tempustic</subgrpmod>
#> <awb>13.12</awb>
#> <swb>-218.22</swb>
#> <smcstates>
#> <cumdays>
#> <yrdry>67</yrdry>
#> <yrmd>88</yrmd>
#> <yrmst>205</yrmst>
#> <bio5dry>48</bio5dry>
#> <bio5md>58</bio5md>
#> <bio5mst>118</bio5mst>
#> </cumdays>
#> <consdays>
#> <yrmst>293</yrmst>
#> <bio8mst>166</bio8mst>
#> <smrdry>22</smrdry>
#> <wtrmst>105</wtrmst>
#> </consdays>
#> </smcstates>
#> <pets>
#> <pet id="Jan">0.0</pet>
#> <pet id="Feb">1.49</pet>
#> <pet id="Mar">11.44</pet>
#> <pet id="Apr">38.55</pet>
#> <pet id="May">90.93</pet>
#> <pet id="Jun">127.6</pet>
#> <pet id="Jul">142.1</pet>
#> <pet id="Aug">126.57</pet>
#> <pet id="Sep">96.94</pet>
#> <pet id="Oct">39.95</pet>
#> <pet id="Nov">14.39</pet>
#> <pet id="Dec">0.0</pet>
#> </pets>
#> <calendars>
#> <tempcal>
#> <stlt5>
#> <beginday>1</beginday>
#> <endday>102</endday>
#> </stlt5>
#> <st5to8>
#> <beginday>103</beginday>
#> <endday>112</endday>
#> </st5to8>
#> <stgt8>
#> <beginday>113</beginday>
#> <endday>314</endday>
#> </stgt8>
#> <st5to8>
#> <beginday>315</beginday>
#> <endday>326</endday>
#> </st5to8>
#> <stlt5>
#> <beginday>327</beginday>
#> <endday>360</endday>
#> </stlt5>
#> </tempcal>
#> <moistcal>
#> <moistdry>
#> <beginday>1</beginday>
#> <endday>15</endday>
#> </moistdry>
#> <moist>
#> <beginday>16</beginday>
#> <endday>220</endday>
#> </moist>
#> <moistdry>
#> <beginday>221</beginday>
#> <endday>278</endday>
#> </moistdry>
#> <dry>
#> <beginday>279</beginday>
#> <endday>345</endday>
#> </dry>
#> <moistdry>
#> <beginday>346</beginday>
#> <endday>360</endday>
#> </moistdry>
#> </moistcal>
#> </calendars>
#> </output>
#> </model>
#>
This writes the “direct” input NewhallDataset
(input_direct
) and result NewhallResult
(output
) to an XML file with format as above.
newhall_GUI()
is convenience method to open the Newhall
GUI (single runs in v1.6.1 only) with the R package.
If you need to switch back and forth between different versions of
the model JAR file within a single R session, you will need to
detach()
the package and unset any options such as
jNSMR.JAR_SUFFIX
before reloading with a new JAR.