Detects marine heatwave (or cold-spell) events for each pixel in a gridded
dataset, using climatologies computed by ts2clm3. This is the
gridded equivalent of heatwaveR::detect_event().
Usage
detect_event3(
file_in,
name,
clim_file = NULL,
var_name = NULL,
minDuration = 5L,
minDuration2 = minDuration,
joinAcrossGaps = TRUE,
maxGap = 2L,
maxGap2 = maxGap,
threshClim2 = NULL,
threshClim2_var_name = NULL,
coldSpells = FALSE,
category = FALSE,
hemisphere = "south",
roundRes = 4L,
daily = c("none", "also", "only"),
protoEvent = FALSE,
n_threads = 1L,
skip_bad_files = FALSE,
quiet = FALSE
)Arguments
- file_in
Path to the input NetCDF file containing SST data. May also be a character vector of file paths or a directory path containing daily
.nc/.nc4files.- name
Output base name (a path stem). Events are written to
paste0(name, "_events.nc"); the per-day products use"_events_daily.nc"and"_protoevents.nc". The directory must exist.- clim_file
Path to the climatology NetCDF from
ts2clm3. WhenNULL(the default),paste0(name, "_clim.nc")is used.- var_name
Name of the SST variable. If
NULL, auto-detected.- minDuration
Minimum duration (days) for an event. Default
5.- minDuration2
Minimum duration for events that also satisfy
threshClim2. Used only whenthreshClim2is supplied.- joinAcrossGaps
Logical. Join events separated by short gaps? Default
TRUE.- maxGap
Maximum gap length (days) to join across. Default
2.- maxGap2
Maximum gap length for the secondary
threshClim2criterion. Used only whenthreshClim2is supplied.- threshClim2
Optional gridded NetCDF logical criterion for the secondary event pass, equivalent to
heatwaveR::detect_event()'sthreshClim2. The file must align withfile_in; non-zero and non-missing values are treated asTRUE. May be a single NetCDF file, a vector of files, or a directory of daily.nc/.nc4files.- threshClim2_var_name
Name of the secondary criterion variable. If
NULL, it is auto-detected.- coldSpells
Logical. Detect cold-spells instead of heatwaves? Default
FALSE.- category
Logical. Compute Hobday et al. (2018) severity categories (I Moderate through IV Extreme) inline during detection? Categories are written to the event NetCDF as additional variables. Default
FALSE.- hemisphere
Character. Season-naming convention:
"south"(default, austral: DJF = Summer) or"north"(boreal: DJF = Winter). Only used whencategory = TRUE.- roundRes
Number of decimal places for rounding event metrics. Default
4.- daily
Per-day output control, one of
"none"(default; only the event table),"also"(event table plus a per-day NetCDF), or"only"(per-day NetCDF, no event table). The per-day product is written topaste0(name, "_events_daily.nc")and containstemp,seas,thresh,intensity(temp - seas),event,event_no, and the daily Hobday (2018)category(0 = none, 1 = I Moderate ... 4 = IV Extreme).- protoEvent
Logical. Write the per-day proto-event series to
paste0(name, "_protoevents.nc")instead of the event table, mirroringheatwaveR::detect_event(protoEvents = TRUE). Variables:temp,seas,thresh,threshCriterion,durationCriterion,event,event_no. Mutually exclusive withdaily. DefaultFALSE.- n_threads
Number of OpenMP threads. Default
1.- skip_bad_files
Logical. For multi-file inputs, skip unreadable files or files with mismatched grids instead of failing. Default
FALSE.- quiet
Logical. Suppress the post-computation console summary (head, tail, and summary statistics of each product written)? Default
FALSE.
Value
Invisibly returns a named character vector of the NetCDF files
written (a subset of events, daily, protoevents). Use
hw3_export to read any of them into a data.frame or to
export to CSV/RDS/Parquet.
Examples
# \donttest{
sst_file <- system.file("extdata/sst_test.nc", package = "heatwave3")
stem <- file.path(tempdir(), "demo")
ts2clm3(sst_file, name = stem,
climatologyPeriod = c("1982-01-01", "2011-12-31"))
#> Reading SST data from /tmp/RtmptnP3kw/temp_libpath10f40785ac7f0/heatwave3/extdata/sst_test.nc...
#> Grid: 2 lon x 3 lat x 14276 time = 6 pixels
#> Computing climatology with 1 thread(s)...
#>
1/6 pixels (16%)
2/6 pixels (33%)
3/6 pixels (50%)
4/6 pixels (66%)
5/6 pixels (83%)
6/6 pixels (100%)
#> Writing climatology to /tmp/RtmpbqjzHu/demo_clim.nc...
#> Done.
#>
#> ------------------------------------------------------------------
#> Climatology written to: /tmp/RtmpbqjzHu/demo_clim.nc
#> Rows (long format): 2,196 grid: 2 lon x 3 lat
#>
#> Head:
#> lon lat doy seas thresh
#> 1 26.525 -34.125 1 294.4208 295.9951
#> 2 26.525 -34.125 2 294.4648 296.0311
#> 3 26.525 -34.125 3 294.5088 296.0720
#> 4 26.525 -34.125 4 294.5524 296.1133
#> 5 26.525 -34.125 5 294.5955 296.1553
#>
#> Tail:
#> lon lat doy seas thresh
#> 2192 26.575 -34.025 362 293.5308 295.1848
#> 2193 26.575 -34.025 363 293.5672 295.2141
#> 2194 26.575 -34.025 364 293.6065 295.2460
#> 2195 26.575 -34.025 365 293.6480 295.2776
#> 2196 26.575 -34.025 366 293.6907 295.3100
#>
#> Summary:
#> ocean pixels (valid climatology): 6
#> seas: 291.1 to 295.6
#> thresh: 292.4 to 297.6
#>
#> Examine with hw3_export("/tmp/RtmpbqjzHu/demo_clim.nc", n = 20)
#> or export with hw3_export("/tmp/RtmpbqjzHu/demo_clim.nc", file_out = "out.csv") (.csv/.rds/.parquet)
#> ------------------------------------------------------------------
detect_event3(sst_file, name = stem) # demo_events.nc
#> Reading climatology from /tmp/RtmpbqjzHu/demo_clim.nc...
#> Reading SST data from /tmp/RtmptnP3kw/temp_libpath10f40785ac7f0/heatwave3/extdata/sst_test.nc...
#> Grid: 2 lon x 3 lat x 14276 time = 6 pixels
#> Detecting events with 1 thread(s)...
#>
1/6 pixels (16%)
2/6 pixels (33%)
3/6 pixels (50%)
4/6 pixels (66%)
5/6 pixels (83%)
6/6 pixels (100%)
#> Found 610 events across 6 pixels
#> Writing events to /tmp/RtmpbqjzHu/demo_events.nc...
#> Done.
#>
#> ------------------------------------------------------------------
#> Events written to: /tmp/RtmpbqjzHu/demo_events.nc
#> Rows (long format): 610
#>
#> Head:
#> lon lat pixel_index event_no date_start date_peak date_end duration
#> 1 26.525 -34.125 0 1 1982-11-06 1982-11-14 1982-11-24 19
#> 2 26.525 -34.125 0 2 1983-04-19 1983-04-20 1983-04-23 5
#> 3 26.525 -34.125 0 3 1983-05-27 1983-05-30 1983-06-01 6
#> 4 26.525 -34.125 0 4 1983-06-24 1983-06-25 1983-06-30 7
#> 5 26.525 -34.125 0 5 1983-07-10 1983-07-12 1983-07-15 6
#> intensity_mean intensity_max intensity_var intensity_cumulative
#> 1 2.2099 3.1531 0.5616 41.9874
#> 2 3.4849 3.6150 0.1535 17.4243
#> 3 1.9696 2.0416 0.0668 11.8179
#> 4 1.9655 2.4626 0.3339 13.7587
#> 5 1.5890 1.8050 0.1784 9.5342
#> intensity_mean_relThresh intensity_max_relThresh intensity_var_relThresh
#> 1 0.6780 1.6275 0.5667
#> 2 1.6822 1.8107 0.1481
#> 3 0.2178 0.2885 0.0702
#> 4 0.5567 1.0416 0.3225
#> 5 0.2596 0.4747 0.1772
#> intensity_cumulative_relThresh intensity_mean_abs intensity_max_abs
#> 1 12.8813 295.2789 296.22
#> 2 8.4110 297.9640 298.10
#> 3 1.3069 295.6150 295.67
#> 4 3.8969 294.7100 295.27
#> 5 1.5575 294.0717 294.29
#> intensity_var_abs intensity_cumulative_abs rate_onset rate_decline
#> 1 0.5886 5610.30 0.1840 0.1471
#> 2 0.1573 1489.82 0.1007 0.0349
#> 3 0.0677 1773.69 0.0303 0.0282
#> 4 0.3945 2062.97 0.2077 0.1885
#> 5 0.1824 1764.43 0.1363 0.1270
#>
#> Tail:
#> lon lat pixel_index event_no date_start date_peak date_end
#> 606 26.575 -34.025 5 98 2019-07-07 2019-07-11 2019-07-14
#> 607 26.575 -34.025 5 99 2019-08-30 2019-09-02 2019-09-05
#> 608 26.575 -34.025 5 100 2019-10-21 2019-10-26 2019-11-01
#> 609 26.575 -34.025 5 101 2020-07-05 2020-07-06 2020-07-09
#> 610 26.575 -34.025 5 102 2020-08-24 2020-08-25 2020-08-30
#> duration intensity_mean intensity_max intensity_var intensity_cumulative
#> 606 8 1.9123 2.6167 0.3509 15.2983
#> 607 7 2.6135 3.2218 0.6238 18.2944
#> 608 12 2.7097 4.2806 0.9613 32.5162
#> 609 5 1.9184 2.4610 0.4567 9.5918
#> 610 7 1.7027 1.8887 0.1673 11.9191
#> intensity_mean_relThresh intensity_max_relThresh intensity_var_relThresh
#> 606 0.5331 1.2395 0.3545
#> 607 1.2196 1.8291 0.6356
#> 608 1.2481 2.8252 0.9574
#> 609 0.5193 1.0566 0.4505
#> 610 0.3486 0.5476 0.1719
#> intensity_cumulative_relThresh intensity_mean_abs intensity_max_abs
#> 606 4.2646 293.7725 294.47
#> 607 8.5369 293.8743 294.48
#> 608 14.9767 294.3308 295.87
#> 609 2.5966 293.8140 294.37
#> 610 2.4402 292.9757 293.17
#> intensity_var_abs intensity_cumulative_abs rate_onset rate_decline
#> 606 0.3438 2350.18 0.2090 0.1836
#> 607 0.6214 2057.12 0.2155 0.5020
#> 608 0.9940 3531.97 0.5195 0.4084
#> 609 0.4723 1469.07 0.3247 0.2915
#> 610 0.1695 2050.83 0.2322 0.0693
#>
#> Summary:
#> events: 610 pixels with events: 6
#> dates: 1982-11-06 to 2020-09-26
#> duration (days): 5 to 38
#> intensity_max: 1.314 to 4.911
#>
#> Examine with hw3_export("/tmp/RtmpbqjzHu/demo_events.nc", n = 20)
#> or export with hw3_export("/tmp/RtmpbqjzHu/demo_events.nc", file_out = "out.csv") (.csv/.rds/.parquet)
#> ------------------------------------------------------------------
detect_event3(sst_file, name = stem, daily = "also") # + demo_events_daily.nc
#> Reading climatology from /tmp/RtmpbqjzHu/demo_clim.nc...
#> Reading SST data from /tmp/RtmptnP3kw/temp_libpath10f40785ac7f0/heatwave3/extdata/sst_test.nc...
#> Grid: 2 lon x 3 lat x 14276 time = 6 pixels
#> Detecting events with 1 thread(s)...
#>
1/6 pixels (16%)
2/6 pixels (33%)
3/6 pixels (50%)
4/6 pixels (66%)
5/6 pixels (83%)
6/6 pixels (100%)
#> Found 610 events across 6 pixels
#> Writing per-day series to /tmp/RtmpbqjzHu/demo_events_daily.nc...
#> Done.
#> Writing events to /tmp/RtmpbqjzHu/demo_events.nc...
#> Done.
#>
#> ------------------------------------------------------------------
#> Events written to: /tmp/RtmpbqjzHu/demo_events.nc
#> Rows (long format): 610
#>
#> Head:
#> lon lat pixel_index event_no date_start date_peak date_end duration
#> 1 26.525 -34.125 0 1 1982-11-06 1982-11-14 1982-11-24 19
#> 2 26.525 -34.125 0 2 1983-04-19 1983-04-20 1983-04-23 5
#> 3 26.525 -34.125 0 3 1983-05-27 1983-05-30 1983-06-01 6
#> 4 26.525 -34.125 0 4 1983-06-24 1983-06-25 1983-06-30 7
#> 5 26.525 -34.125 0 5 1983-07-10 1983-07-12 1983-07-15 6
#> intensity_mean intensity_max intensity_var intensity_cumulative
#> 1 2.2099 3.1531 0.5616 41.9874
#> 2 3.4849 3.6150 0.1535 17.4243
#> 3 1.9696 2.0416 0.0668 11.8179
#> 4 1.9655 2.4626 0.3339 13.7587
#> 5 1.5890 1.8050 0.1784 9.5342
#> intensity_mean_relThresh intensity_max_relThresh intensity_var_relThresh
#> 1 0.6780 1.6275 0.5667
#> 2 1.6822 1.8107 0.1481
#> 3 0.2178 0.2885 0.0702
#> 4 0.5567 1.0416 0.3225
#> 5 0.2596 0.4747 0.1772
#> intensity_cumulative_relThresh intensity_mean_abs intensity_max_abs
#> 1 12.8813 295.2789 296.22
#> 2 8.4110 297.9640 298.10
#> 3 1.3069 295.6150 295.67
#> 4 3.8969 294.7100 295.27
#> 5 1.5575 294.0717 294.29
#> intensity_var_abs intensity_cumulative_abs rate_onset rate_decline
#> 1 0.5886 5610.30 0.1840 0.1471
#> 2 0.1573 1489.82 0.1007 0.0349
#> 3 0.0677 1773.69 0.0303 0.0282
#> 4 0.3945 2062.97 0.2077 0.1885
#> 5 0.1824 1764.43 0.1363 0.1270
#>
#> Tail:
#> lon lat pixel_index event_no date_start date_peak date_end
#> 606 26.575 -34.025 5 98 2019-07-07 2019-07-11 2019-07-14
#> 607 26.575 -34.025 5 99 2019-08-30 2019-09-02 2019-09-05
#> 608 26.575 -34.025 5 100 2019-10-21 2019-10-26 2019-11-01
#> 609 26.575 -34.025 5 101 2020-07-05 2020-07-06 2020-07-09
#> 610 26.575 -34.025 5 102 2020-08-24 2020-08-25 2020-08-30
#> duration intensity_mean intensity_max intensity_var intensity_cumulative
#> 606 8 1.9123 2.6167 0.3509 15.2983
#> 607 7 2.6135 3.2218 0.6238 18.2944
#> 608 12 2.7097 4.2806 0.9613 32.5162
#> 609 5 1.9184 2.4610 0.4567 9.5918
#> 610 7 1.7027 1.8887 0.1673 11.9191
#> intensity_mean_relThresh intensity_max_relThresh intensity_var_relThresh
#> 606 0.5331 1.2395 0.3545
#> 607 1.2196 1.8291 0.6356
#> 608 1.2481 2.8252 0.9574
#> 609 0.5193 1.0566 0.4505
#> 610 0.3486 0.5476 0.1719
#> intensity_cumulative_relThresh intensity_mean_abs intensity_max_abs
#> 606 4.2646 293.7725 294.47
#> 607 8.5369 293.8743 294.48
#> 608 14.9767 294.3308 295.87
#> 609 2.5966 293.8140 294.37
#> 610 2.4402 292.9757 293.17
#> intensity_var_abs intensity_cumulative_abs rate_onset rate_decline
#> 606 0.3438 2350.18 0.2090 0.1836
#> 607 0.6214 2057.12 0.2155 0.5020
#> 608 0.9940 3531.97 0.5195 0.4084
#> 609 0.4723 1469.07 0.3247 0.2915
#> 610 0.1695 2050.83 0.2322 0.0693
#>
#> Summary:
#> events: 610 pixels with events: 6
#> dates: 1982-11-06 to 2020-09-26
#> duration (days): 5 to 38
#> intensity_max: 1.314 to 4.911
#>
#> Examine with hw3_export("/tmp/RtmpbqjzHu/demo_events.nc", n = 20)
#> or export with hw3_export("/tmp/RtmpbqjzHu/demo_events.nc", file_out = "out.csv") (.csv/.rds/.parquet)
#> ------------------------------------------------------------------
#>
#> ------------------------------------------------------------------
#> Daily series written to: /tmp/RtmpbqjzHu/demo_events_daily.nc
#> Rows (long format): 85,656 grid: 2 lon x 3 lat
#>
#> Head:
#> lon lat t temp seas thresh intensity event event_no
#> 1 26.525 -34.125 1982-01-01 295.58 294.4208 295.9951 1.1592 FALSE NA
#> 2 26.525 -34.125 1982-01-02 295.62 294.4648 296.0311 1.1552 FALSE NA
#> 3 26.525 -34.125 1982-01-03 295.58 294.5088 296.0720 1.0712 FALSE NA
#> 4 26.525 -34.125 1982-01-04 295.78 294.5524 296.1133 1.2276 FALSE NA
#> 5 26.525 -34.125 1982-01-05 295.85 294.5955 296.1553 1.2545 FALSE NA
#> category
#> 1 NA
#> 2 NA
#> 3 NA
#> 4 NA
#> 5 NA
#>
#> Tail:
#> lon lat t temp seas thresh intensity event
#> 85652 26.575 -34.025 2021-01-27 290.65 294.5295 296.3604 -3.8795 FALSE
#> 85653 26.575 -34.025 2021-01-28 291.12 294.5434 296.3859 -3.4234 FALSE
#> 85654 26.575 -34.025 2021-01-29 291.69 294.5551 296.4046 -2.8651 FALSE
#> 85655 26.575 -34.025 2021-01-30 293.52 294.5648 296.4204 -1.0448 FALSE
#> 85656 26.575 -34.025 2021-01-31 295.21 294.5736 296.4334 0.6364 FALSE
#> event_no category
#> 85652 NA NA
#> 85653 NA NA
#> 85654 NA NA
#> 85655 NA NA
#> 85656 NA NA
#>
#> Summary:
#> dates: 1982-01-01 to 2021-01-31
#> event-days: 5195
#> category: 1=8922 2=439 3=3
#>
#> Examine with hw3_export("/tmp/RtmpbqjzHu/demo_events_daily.nc", n = 20)
#> or export with hw3_export("/tmp/RtmpbqjzHu/demo_events_daily.nc", file_out = "out.csv") (.csv/.rds/.parquet)
#> ------------------------------------------------------------------
# }