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{\list\listtemplateid67698703\listsimple{\listlevel\levelnfc0\leveljc0\levelfollow0\levelstartat1\levelold\levelspace0\levelindent360{\leveltext\'02\'00.;}{\levelnumbers\'01;}\fi-360\li360 }{\listname ;}\listid328024494}{\list\listtemplateid67698689 \listsimple{\listlevel\levelnfc23\leveljc0\levelfollow0\levelstartat1\levelspace0\levelindent0{\leveltext\'01\u-3913 ?;}{\levelnumbers;}\f3\fbias0 \fi-360\li360\jclisttab\tx360 }{\listname ;}\listid481000301}{\list\listtemplateid67698689\listsimple {\listlevel\levelnfc23\leveljc0\levelfollow0\levelstartat1\levelspace0\levelindent0{\leveltext\'01\u-3913 ?;}{\levelnumbers;}\f3\fbias0 \fi-360\li360\jclisttab\tx360 }{\listname ;}\listid714158312}{\list\listtemplateid67698703\listsimple{\listlevel \levelnfc0\leveljc0\levelfollow0\levelstartat1\levelold\levelspace0\levelindent360{\leveltext\'02\'00.;}{\levelnumbers\'01;}\fi-360\li360 }{\listname ;}\listid1209223736}{\list\listtemplateid67698703\listsimple{\listlevel\levelnfc0\leveljc0\levelfollow0 \levelstartat1\levelspace0\levelindent0{\leveltext\'02\'00.;}{\levelnumbers\'01;}\fi-360\li360\jclisttab\tx360 }{\listname ;}\listid1357853989}{\list\listtemplateid67698703\listsimple{\listlevel\levelnfc0\leveljc0\levelfollow0\levelstartat1\levelold \levelspace0\levelindent360{\leveltext\'02\'00.;}{\levelnumbers\'01;}\fi-360\li360 }{\listname ;}\listid1722748178}}{\*\listoverridetable{\listoverride\listid1209223736\listoverridecount0\ls1}{\listoverride\listid328024494\listoverridecount0\ls2} {\listoverride\listid1722748178\listoverridecount0\ls3}{\listoverride\listid249655411\listoverridecount0\ls4}{\listoverride\listid1357853989\listoverridecount0\ls5}{\listoverride\listid481000301\listoverridecount0\ls6}{\listoverride\listid714158312 \listoverridecount0\ls7}{\listoverride\listid35858763\listoverridecount0\ls8}}{\info{\title Outlier Detection}{\author Dick Olson}{\operator Tim Rhyne}{\creatim\yr2000\mo3\dy28\hr10\min21}{\revtim\yr2000\mo3\dy28\hr10\min21} {\printim\yr2000\mo3\dy7\hr17\min35}{\version2}{\edmins0}{\nofpages4}{\nofwords1335}{\nofchars7611}{\*\company }{\nofcharsws9346}{\vern89}}\margl864\margr864\margt1152\margb1152 \widowctrl\ftnbj\aenddoc\lytprtmet\hyphcaps0\formshade\viewkind4\viewscale90\pgbrdrhead\pgbrdrfoot \fet0\sectd \psz1\sbkodd\linex0\endnhere\sectdefaultcl {\footer \pard\plain \s17\widctlpar\tqc\tx4320\tqr\tx8640\pvpara\phmrg\posxr\posy0\adjustright \fs20\cgrid {\field{\*\fldinst {\cs18 PAGE }}{\fldrslt {\cs18\lang1024 4}}}{\cs18 \par }\pard \s17\ri360\widctlpar\tqc\tx4320\tqr\tx8640\adjustright { \par }}{\*\pnseclvl1\pnucrm\pnstart1\pnindent720\pnhang{\pntxta .}}{\*\pnseclvl2\pnucltr\pnstart1\pnindent720\pnhang{\pntxta .}}{\*\pnseclvl3\pndec\pnstart1\pnindent720\pnhang{\pntxta .}}{\*\pnseclvl4\pnlcltr\pnstart1\pnindent720\pnhang{\pntxta )}} {\*\pnseclvl5\pndec\pnstart1\pnindent720\pnhang{\pntxtb (}{\pntxta )}}{\*\pnseclvl6\pnlcltr\pnstart1\pnindent720\pnhang{\pntxtb (}{\pntxta )}}{\*\pnseclvl7\pnlcrm\pnstart1\pnindent720\pnhang{\pntxtb (}{\pntxta )}}{\*\pnseclvl8 \pnlcltr\pnstart1\pnindent720\pnhang{\pntxtb (}{\pntxta )}}{\*\pnseclvl9\pnlcrm\pnstart1\pnindent720\pnhang{\pntxtb (}{\pntxta )}}\pard\plain \s15\qc\widctlpar\adjustright \f1\fs20\cgrid {\b\f0\fs24 Ecosystem Model-Data Intercomparison Workshop \par Outlier Detection and Flagging for Class C Sites \par }{\f0\fs24 R.J. Olson, J.M.O. Scurlock, K.R. Johnson, and EMDI Workshop Participants \par March 24, 2000 \par }{\b\f0\fs22 \par }\pard \s15\widctlpar\adjustright {\b\f0\fs22 Summary \par {\pntext\pard\plain\s15 \f3\fs22\cgrid \loch\af3\dbch\af0\hich\f3 \'b7\tab}}\pard \s15\fi-360\li360\widctlpar\jclisttab\tx360{\*\pn \pnlvlblt\ilvl0\ls7\pnrnot0\pnf3\pnstart1\pnindent360\pnhang{\pntxtb \'b7}}\ls7\adjustright {\f0\fs22 Received data for Class C sites (2696 records, 2104 sites) from Steve Prince (University of Maryland) \par {\pntext\pard\plain\s15 \f3\fs22\cgrid \loch\af3\dbch\af0\hich\f3 \'b7\tab}}\pard \s15\fi-360\li360\widctlpar\jclisttab\tx360{\*\pn \pnlvlblt\ilvl0\ls7\pnrnot0\pnf3\pnstart1\pnindent360\pnhang{\pntxtb \'b7}}\ls7\adjustright {\f0\fs22 Calculated new NPP ensemble values (4 models) \par {\pntext\pard\plain\s15 \f3\fs22\cgrid \loch\af3\dbch\af0\hich\f3 \'b7\tab}}\pard \s15\fi-360\li360\widctlpar\jclisttab\tx360{\*\pn \pnlvlblt\ilvl0\ls7\pnrnot0\pnf3\pnstart1\pnindent360\pnhang{\pntxtb \'b7}}\ls7\adjustright {\f0\fs22 Calculated new AET ensemble values (2 models) \par {\pntext\pard\plain\s15 \f3\fs22\cgrid \loch\af3\dbch\af0\hich\f3 \'b7\tab}}\pard \s15\fi-360\li360\widctlpar\jclisttab\tx360{\*\pn \pnlvlblt\ilvl0\ls7\pnrnot0\pnf3\pnstart1\pnindent360\pnhang{\pntxtb \'b7}}\ls7\adjustright {\f0\fs22 Performed outlier analysis on NPP and driver data (66 flags) \par {\pntext\pard\plain\s15 \f3\fs22\cgrid \loch\af3\dbch\af0\hich\f3 \'b7\tab}}\pard \s15\fi-360\li360\widctlpar\jclisttab\tx360{\*\pn \pnlvlblt\ilvl0\ls7\pnrnot0\pnf3\pnstart1\pnindent360\pnhang{\pntxtb \'b7}}\ls7\adjustright {\f0\fs22 Identified a set of 72 sites 2696 to be excluded, including: \par }\pard \s15\li720\widctlpar{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\f0\fs22\ul One or more critical flags: \par }{\f0\fs22 ? flagged related to high elevation (>2500 m) \par }{\f0\fs22\ul Five or more less critical flags: \par }{\f0\fs22 Outside of .05 to .95 percentile by biome \par Outside of .95 CI determined by regressions with AET, PREC, TAVE \par {\pntext\pard\plain\s15 \f3\fs22\cgrid \loch\af3\dbch\af0\hich\f3 \'b7\tab}}\pard \s15\fi-360\li360\widctlpar\jclisttab\tx360{\*\pn \pnlvlblt\ilvl0\ls7\pnrnot0\pnf3\pnstart1\pnindent360\pnhang{\pntxtb \'b7}}\ls7\adjustright {\f0\fs22 Recalculated NPP for 1637 sites from the 2624 (2696 - 72) NPP records \par }\pard \s15\widctlpar\adjustright {\f0\fs22 \par \par }{\b\f0\fs22 Background \par }{\f0\fs22 \par The Ecosystem Model-Data Intercomparison (EMDI) Workshop was held December 5-8, 1999 in Durham, New Hampshire with 12 modeling groups participating. The EMDI Workshop included a variety of models, including biogeoch emical, satellite-driven, detailed process, and DVGM types. Initial results showed general agreement between models and data but with obvious differences that indicate areas for potential data and model improvement. Much of the workshop was devoted to l ooking at potential outliers and harmonizing some of the driver data, especially land cover or vegetation types. \par \par }{\b\f0\fs22 Goal -}{\f0\fs22 The goal is to produce a consistent set of NPP measurements with associated environmental driver data that can be used for regional model development and validation. \par \par }\pard\plain \widctlpar\adjustright \fs20\cgrid {\b\fs22 QA Issues -}{\fs22 The ORNL group had reviewed the data extensively prior to EMDI by looking at scatter plots and data outside of reasonable limits. However, the Workshop provided the initial model results to compare with the obs erved NPP data. An ensemble NPP value was calculated for each site as the average of the 4 Class C (old regional) including AVIM, IBIS, PnET, and VECODE. In addition, an ensemble AET (actual evapotranspiration) value was calculated based on the average of AET provided by two of the models for Class C (IBIS, PNET). If the model ensemble NPP value was less than 2 outputs for Class C, then the model average for that site was dropped. If the model ensemble AET value was less than 2 outputs for Class C, th en the model average for that site was dropped. \par \par \par \par The EMDI workshop also provided an opportunity to review the classification of the sites, compare observed to predicted NPP, and look at relationships between variables. The specific issues that we hope to address are: \par }\pard\plain \s15\widctlpar\adjustright \f1\fs20\cgrid {\f0\fs22 \par {\pntext\pard\plain\s15 \f3\fs22\cgrid \loch\af3\dbch\af0\hich\f3 \'b7\tab}}\pard \s15\fi-360\li360\widctlpar\jclisttab\tx360{\*\pn \pnlvlblt\ilvl0\ls6\pnrnot0\pnf3\pnstart1\pnindent360\pnhang{\pntxtb \'b7}}\ls6\adjustright {\f0\fs22 Multiple NPP values for a site \endash Some cells have up to 4 observed NPP values, often for both grassland and cropland vegetation types. \par {\pntext\pard\plain\s15 \f3\fs22\cgrid \loch\af3\dbch\af0\hich\f3 \'b7\tab}}\pard \s15\fi-360\li360\widctlpar\jclisttab\tx360{\*\pn \pnlvlblt\ilvl0\ls6\pnrnot0\pnf3\pnstart1\pnindent360\pnhang{\pntxtb \'b7}}\ls6\adjustright {\f0\fs22 Units of measure \endash we suspected at the EMDI Workshop that the grassland cells were not total NPP gC/m/yr. This was checked by Daolan Zheng and Steve Prince (UMD), Bruce Wylie and Larry Tieszen (EROS), Bill Parton (CSU), and ORNL reviewed and corrected the units of measure problems. \par {\pntext\pard\plain\s15 \f3\fs22\cgrid \loch\af3\dbch\af0\hich\f3 \'b7\tab}}\pard \s15\fi-360\li360\widctlpar\jclisttab\tx360{\*\pn \pnlvlblt\ilvl0\ls6\pnrnot0\pnf3\pnstart1\pnindent360\pnhang{\pntxtb \'b7}}\ls6\adjustright {\f0\fs22 Daolan Zheng received additional NPP data for grassland cells in Australia and forest cells in the eastern USA. We did not include these new data in this iteration. \par }\pard \s15\widctlpar\adjustright {\f0\fs22 \par The power of the statistical-empirical approach is that we can look for patterns within similar groups (i.e., biomes) and look for relationships between variables. Ev en if we could review the original literature reference associated with each study, we would not pickup the potential outliers that were found in this process. \par \par }\pard\plain \s16\widctlpar\adjustright \fs22\cgrid {\b Biomes \endash }{The outlier process started by reviewing the biome designation for all sites. The bio me classification for Class C sites were provided by Steve Prince at UMD. 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\b\fs22\cgrid {Classes \par }\pard\plain \widctlpar\adjustright \fs20\cgrid {\fs22 \par At the EMDI Workshop, we decided to rename the groups to Class A (old Class 1 &2), Class B (old Class 3) and Class C (old Regional cells). This analysis covers Class C sites. We have used the biome level information (means, standard deviation) from Class C for the outlier analysis. \par \par }\pard\plain \s1\keepn\widctlpar\outlinelevel0\adjustright \b\fs22\cgrid {Class C Sites \par }\pard\plain \widctlpar\adjustright \fs20\cgrid {\fs22 \par The EMDI NPP and driver data we re reviewed to flag potential outliers based on criteria to identify unrepresentative sites or potential errors. Each variable was reviewed independently and then in combination with other variables. In this phase, we reviewed all 2830 individual NPP da t a values. The final step will be to calculate average NPP for all unique site-biome combinations using the subset of NPP records that pass our flagging criteria. Initially there were 2294 Class C sites; however, this set was reduced to 2104 unique sites with valid driver data. \par \par }\pard\plain \s16\widctlpar\adjustright \fs22\cgrid {The approach included the following tests to set flags: \par }\pard\plain \widctlpar\adjustright \fs20\cgrid {\fs22 \par {\pntext\pard\plain\fs22\cgrid \hich\af0\dbch\af0\loch\f0 1.\tab}}\pard \fi-360\li360\widctlpar\jclisttab\tx360{\*\pn \pnlvlbody\ilvl0\ls5\pnrnot0\pndec\pnstart1\pnindent360\pnhang{\pntxta .}}\ls5\adjustright {\fs22 Flags based on values outside of reasonable limits: \par }\pard \li720\widctlpar{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs22 \par ANPP_C>2000 gC/m2, TNPP_C > 3000 \par ANPP_C<50 gC/m2, TNPP_C<50 \par ELEV > 2500 m OR ELEV<-100 m (high or low elevation sites were expected to comprise unrepresentative sub-biomes or present problems with the climate extrapolation algorithm) \par ANPP > .95TNPP (for a site with both above and below ground components) \par }\pard \widctlpar{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs22 \par {\pntext\pard\plain\fs22\cgrid \hich\af0\dbch\af0\loch\f0 2.\tab}}\pard \fi-360\li360\widctlpar\jclisttab\tx360{\*\pn \pnlvlbody\ilvl0\ls5\pnrnot0\pndec\pnstart1\pnindent360\pnhang{\pntxta .}}\ls5\adjustright {\fs22 Flags based on questionable values. }{ \i\fs22 }{\fs22 \par }\pard \widctlpar{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs22 \par }\pard \li720\widctlpar{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs22 LAT_DD, LONG_DD \par }\pard \widctlpar{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs22 \par {\pntext\pard\plain\fs22\cgrid \hich\af0\dbch\af0\loch\f0 3.\tab}}\pard \fi-360\li360\widctlpar\jclisttab\tx360{\*\pn \pnlvlbody\ilvl0\ls5\pnrnot0\pndec\pnstart1\pnindent360\pnhang{\pntxta .}}\ls5\adjustright {\fs22 Flags based on NPP values outside of the .05-.95 percentiles for each biome calculated assuming a normal distribution of variables (this replaces our initial rule of using 2 standard deviations): \par }\pard \widctlpar{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs22 \par }\pard \li720\widctlpar{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs22 ANPP, TNPP \par }\pard \widctlpar{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs22 \par {\pntext\pard\plain\fs22\cgrid \hich\af0\dbch\af0\loch\f0 4.\tab}}\pard \fi-360\li360\widctlpar\jclisttab\tx360{\*\pn \pnlvlbody\ilvl0\ls5\pnrnot0\pndec\pnstart1\pnindent360\pnhang{\pntxta .}}\ls5\adjustright {\fs22 Flags based on climate values outside of the .01-.99 percentiles for each biome calculated assuming a normal distribution of variables. In addition, we set some specific limits for some biomes: \par }\pard \widctlpar{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs22 \par }\pard \li720\widctlpar{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs22 Temp, Precip \par }\pard \widctlpar{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs22 \par {\pntext\pard\plain\fs22\cgrid \hich\af0\dbch\af0\loch\f0 5.\tab}}\pard \fi-360\li360\widctlpar\jclisttab\tx360{\*\pn \pnlvlbody\ilvl0\ls5\pnrnot0\pndec\pnstart1\pnindent360\pnhang{\pntxta .}}\ls5\adjustright {\fs22 Flags based on the comparison of measured NPP versus modeled NPP using the average or ensemble value for all available models. The comparison was based on bias (predicted - observed), Normalized Error (predicted - observed) divi ded by the average (predicted - observed )/2, and Mean Absolute Error (MAE) \endash (predicted - observed) divided by the observed. . Based on the frequency distributions, bias greater than +_ 600 gC/m2, NE ratios greater than +_1.3, and MAE ratios greater than +_ 3 were flagged. \par }\pard \widctlpar{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs22 \par }\pard \li720\widctlpar{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs22 NPP vs MODEL ensemble \par }\pard \widctlpar{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs22 \par {\pntext\pard\plain\fs22\cgrid \hich\af0\dbch\af0\loch\f0 6.\tab}}\pard \fi-360\li360\widctlpar\jclisttab\tx360{\*\pn \pnlvlbody\ilvl0\ls5\pnrnot0\pndec\pnstart1\pnindent360\pnhang{\pntxta .}}\ls5\adjustright {\fs22 Flags based on relationships between variables. Linear regression analysis was performed between NPP and average NPP (from 4 models), NPP and average AET (from 2 models), NPP and precipitation, NPP and temperatu re, and NPP and ANPP. Points falling outside of the .95 Confidence Interval about the regression line were flagged. \par }\pard \widctlpar\adjustright {\fs22 \par }\pard \li720\widctlpar\adjustright {\fs22 NPP vs NPP_predicted, NPP vs AET, NPP vs Prec, NPP vs Tave \par \par }\pard\plain \s1\keepn\widctlpar\outlinelevel0\adjustright \b\fs22\cgrid {Critical flags \par }\pard\plain \widctlpar\adjustright \fs20\cgrid {\fs22 \par We assume that sites that have multiple flags have inconsisten cies between NPP, driver data, and model predictions, and are therefore more likely to be an outlier. This seemed to hold true in plots (see below). We also know that some flags are deserve more critical weight as indicators of potential problems. We d e signated flags by assigning a value of 10 for those critical checks, including NPP inconsistent with model NPP ensemble value, elevation > 2500 m or < -100 m, and either site temperature or precipitation inconsistent with that assigned based on the global climate data. \par \par The overall flags value was calculated as the sum of the individual flags. Sites with a sum greater that 100 (managed biomes) were dropped, and those greater than 5 (all those with at least one major flag) were considered potential for excluding. \par \par {\pntext\pard\plain\fs22\cgrid \hich\af0\dbch\af0\loch\f0 1.\tab}}\pard \fi-360\li720\widctlpar\jclisttab\tx720{\*\pn \pnlvlbody\ilvl0\ls4\pnrnot0\pndec\pnstart1\pnindent360\pnhang{\pntxta .}}\ls4\adjustright {\fs22 Select sites with no flags set or less than 5 noncritical flags (or exclude those with a critical flag set or five or more noncritical flags) \par }\pard \widctlpar\adjustright {\fs22 \par }\pard\plain \s1\keepn\widctlpar\outlinelevel0\adjustright \b\fs22\cgrid {Results \par }\pard\plain \widctlpar\adjustright \fs20\cgrid {\fs22 \par A total of 72 appeared to be outliers. We are in the process of reviewing this list. If the EMDI group as a whole accepted these as outliers and we recalculate site and biome averages, we would have a total of 2624 records for 1637 sites. \par \par }\pard\plain \s1\keepn\widctlpar\outlinelevel0\adjustright \b\fs22\cgrid {Plots and Charts \par }\pard\plain \widctlpar\adjustright \fs20\cgrid {\fs22 \par We plotted NPP observed against the modeled NPP ensemble, by AET ensemble, and by latitude with the plot symbols indicating the magnitude of the flags. In general, the points that had high flag values appeared to be on the fringe of the cluster of points. As included below, the difference between the old NPP and revised included increases an d decreases, generally getting bigger with higher NPP levels. There was a strong relationship of the recalculated model ensemble to be higher at low NPP and lower than observed NPP at higher NPP. Bar charts are presented for the new biome groups. \par \par }{\fs22\cgrid0 The SAS variable names and labels for the flags are: \par \par }\trowd \trgaph108\trleft-108\trbrdrt\brdrs\brdrw10 \trbrdrl\brdrs\brdrw10 \trbrdrb\brdrs\brdrw10 \trbrdrr\brdrs\brdrw10 \trbrdrh\brdrs\brdrw10 \trbrdrv\brdrs\brdrw10 \clvertalt\clbrdrt\brdrs\brdrw10 \clbrdrl\brdrs\brdrw10 \clbrdrb\brdrs\brdrw10 \clbrdrr \brdrs\brdrw10 \cltxlrtb \cellx1620\clvertalt\clbrdrt\brdrs\brdrw10 \clbrdrl\brdrs\brdrw10 \clbrdrb\brdrs\brdrw10 \clbrdrr\brdrs\brdrw10 \cltxlrtb \cellx2430\clvertalt\clbrdrt\brdrs\brdrw10 \clbrdrl\brdrs\brdrw10 \clbrdrb\brdrs\brdrw10 \clbrdrr \brdrs\brdrw10 \cltxlrtb \cellx8640\pard \widctlpar\intbl\adjustright {\fs22\cgrid0 Flag name\cell Flag\cell Flag label\cell }\pard \widctlpar\intbl\adjustright {\fs22\cgrid0 \row }\trowd \trgaph108\trleft-108\trbrdrt\brdrs\brdrw10 \trbrdrl\brdrs\brdrw10 \trbrdrb\brdrs\brdrw10 \trbrdrr\brdrs\brdrw10 \trbrdrh\brdrs\brdrw10 \trbrdrv\brdrs\brdrw10 \clvertalt\clbrdrt\brdrs\brdrw10 \clbrdrl\brdrs\brdrw10 \clbrdrb\brdrs\brdrw10 \clbrdrr\brdrs\brdrw10 \cltxlrtb \cellx1620\clvertalt\clbrdrt\brdrs\brdrw10 \clbrdrl \brdrs\brdrw10 \clbrdrb\brdrs\brdrw10 \clbrdrr\brdrs\brdrw10 \cltxlrtb \cellx2430\clvertalt\clbrdrt\brdrs\brdrw10 \clbrdrl\brdrs\brdrw10 \clbrdrb\brdrs\brdrw10 \clbrdrr\brdrs\brdrw10 \cltxlrtb \cellx8640\pard \widctlpar\intbl\adjustright {\fs22\cgrid0 ELEV_MXF\cell 10\cell elev >2500, elev < -100*\cell }\pard \widctlpar\intbl\adjustright {\fs22\cgrid0 \row }\pard \widctlpar\intbl\adjustright {\fs22\cgrid0 MOD_F\cell 10\cell (npp_est - modcb_av) / ave(npp) > 1*\cell }\pard \widctlpar\intbl\adjustright { \fs22\cgrid0 \row }\pard \widctlpar\intbl\adjustright {\fs22\cgrid0 ANPP_P5F\cell 1\cell anpp outsite .05-.95 percentile by biome2\cell }\pard \widctlpar\intbl\adjustright {\fs22\cgrid0 \row }\pard \widctlpar\intbl\adjustright {\fs22\cgrid0 BNPP_P5F\cell 1\cell bnpp outsite .05-.95 percentile by biome2\cell }\pard \widctlpar\intbl\adjustright {\fs22\cgrid0 \row }\pard \widctlpar\intbl\adjustright {\fs22\cgrid0 TNPP_P5F\cell 1\cell tnpp outsite .05-.95 percentile by biome2\cell }\pard \widctlpar\intbl\adjustright {\fs22\cgrid0 \row }\pard \widctlpar\intbl\adjustright {\fs22\cgrid0 ANPPBADF\cell 1\cell anpp >2000gc/m2, anpp>95%tnpp\cell }\pard \widctlpar\intbl\adjustright {\fs22\cgrid0 \row }\pard \widctlpar\intbl\adjustright { \fs22\cgrid0 BNPPBADF\cell 1\cell bnpp >2000gc/m2, bnpp>95%tnpp\cell }\pard \widctlpar\intbl\adjustright {\fs22\cgrid0 \row }\pard \widctlpar\intbl\adjustright {\fs22\cgrid0 TNPPBADF\cell 1\cell tnpp >3000gc/m2, anppbadf or bnppbadf\cell }\pard \widctlpar\intbl\adjustright {\fs22\cgrid0 \row }\pard \widctlpar\intbl\adjustright {\fs22\cgrid0 AET_RGF\cell 1\cell NPP outside .95 CI of NPP=a+b*AET regression\cell }\pard \widctlpar\intbl\adjustright {\fs22\cgrid0 \row }\pard \widctlpar\intbl\adjustright {\fs22\cgrid0 PREC_RGF\cell 1\cell NPP outside .95 CI of NPP=a+b*PREC regression\cell }\pard \widctlpar\intbl\adjustright {\fs22\cgrid0 \row }\pard \widctlpar\intbl\adjustright {\fs22\cgrid0 TAVE_RGF\cell 1\cell NPP outside .95 CI of NPP=a+b*TAVE regression\cell }\pard \widctlpar\intbl\adjustright {\fs22\cgrid0 \row }\pard \widctlpar\intbl\adjustright {\fs22\cgrid0 PRECBADF\cell 1\cell prec outsite .01-.99 percentile by biome2 (or >1000mm in desert)\cell }\pard \widctlpar\intbl\adjustright {\fs22\cgrid0 \row }\trowd \trgaph108\trleft-108\trbrdrt\brdrs\brdrw10 \trbrdrl\brdrs\brdrw10 \trbrdrb\brdrs\brdrw10 \trbrdrr\brdrs\brdrw10 \trbrdrh\brdrs\brdrw10 \trbrdrv\brdrs\brdrw10 \clvertalt\clbrdrt\brdrs\brdrw10 \clbrdrl\brdrs\brdrw10 \clbrdrb\brdrs\brdrw10 \clbrdrr\brdrs\brdrw10 \cltxlrtb \cellx1620\clvertalt\clbrdrt\brdrs\brdrw10 \clbrdrl\brdrs\brdrw10 \clbrdrb\brdrs\brdrw10 \clbrdrr\brdrs\brdrw10 \cltxlrtb \cellx2430\clvertalt\clbrdrt\brdrs\brdrw10 \clbrdrl \brdrs\brdrw10 \clbrdrb\brdrs\brdrw10 \clbrdrr\brdrs\brdrw10 \cltxlrtb \cellx8640\pard \widctlpar\intbl\adjustright {\fs22\cgrid0 TAVEBADF\cell 1\cell temp outsite .01-.99 percentile by biome2 (>6 in boreal forests)\cell }\pard \widctlpar\intbl\adjustright {\fs22\cgrid0 \row }\pard \widctlpar\adjustright {\fs22 \par }}