<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article  PUBLIC "-//NLM//DTD Journal Publishing DTD v3.0 20080202//EN" "http://dtd.nlm.nih.gov/publishing/3.0/journalpublishing3.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="3.0" xml:lang="en" article-type="research article"><front><journal-meta><journal-id journal-id-type="publisher-id">OJMH</journal-id><journal-title-group><journal-title>Open Journal of Modern Hydrology</journal-title></journal-title-group><issn pub-type="epub">2163-0461</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/ojmh.2013.34027</article-id><article-id pub-id-type="publisher-id">OJMH-38886</article-id><article-categories><subj-group subj-group-type="heading"><subject>Articles</subject></subj-group><subj-group subj-group-type="Discipline-v2"><subject>Earth&amp;Environmental Sciences</subject></subj-group></article-categories><title-group><article-title>
 
 
  Spatial and Temporal Variation of Stable Isotopes in Precipitation across Costa Rica: An Analysis of Historic GNIP Records
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>icardo</surname><given-names>Sánchez-Murillo</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref><xref ref-type="corresp" rid="cor1"><sup>*</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Germain</surname><given-names>Esquivel-Hernández</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Kristen</surname><given-names>Welsh</given-names></name><xref ref-type="aff" rid="aff3"><sup>3</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Erin</surname><given-names>S. Brooks</given-names></name><xref ref-type="aff" rid="aff4"><sup>4</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Jan</surname><given-names>Boll</given-names></name><xref ref-type="aff" rid="aff4"><sup>4</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Rosa</surname><given-names>Alfaro-Solís</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Juan</surname><given-names>Valdés-González</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib></contrib-group><aff id="aff4"><addr-line>Department of Biological and Agricultural Engineering, University of Idaho, Moscow, USA.</addr-line></aff><aff id="aff1"><addr-line>Escuela de Química, Universidad Nacional, Heredia, Costa Rica;</addr-line></aff><aff id="aff2"><addr-line>Laboratorio de Química de la Atmósfera, Escuela de Química, Universidad Nacional, Heredia, Costa Rica;</addr-line></aff><aff id="aff3"><addr-line>Waters of the West-Water Resources Program, University of Idaho, Moscow, USA;</addr-line></aff><author-notes><corresp id="cor1">* E-mail:<email>sanc7767@vandals.uidaho.edu(IS)</email>;</corresp></author-notes><pub-date pub-type="epub"><day>07</day><month>10</month><year>2013</year></pub-date><volume>03</volume><issue>04</issue><fpage>226</fpage><lpage>240</lpage><history><date date-type="received"><day>September</day>	<month>1st,</month>	<year>2013</year></date><date date-type="rev-recd"><day>October</day>	<month>1st,</month>	<year>2013</year>	</date><date date-type="accepted"><day>October</day>	<month>8th,</month>	<year>2013</year></date></history><permissions><copyright-statement>&#169; Copyright  2014 by authors and Scientific Research Publishing Inc. </copyright-statement><copyright-year>2014</copyright-year><license><license-p>This work is licensed under the Creative Commons Attribution International License (CC BY). http://creativecommons.org/licenses/by/4.0/</license-p></license></permissions><abstract><p>
 
 
  The location of Costa Rica on the Central American Isthmus creates unique microclimate systems that receive moisture inputs directly from the Caribbean Sea and the Pacific Ocean. In Costa Rica, stable isotope monitoring was conducted by the International Atomic Energy Agency and the World Meteorological Association as part of the worldwide effort entitled Global Network of Isotopes in Precipitation. Sampling campaigns were mainly comprised of monthly-inte
  grated samples during intermittent years from 1990 to 2005. The main goal of this study was to determine spatial and temporal isotopic variations of meteoric waters in Costa Rica using historic records. Samples were grouped in four main regions: Nicoya Peninsula (
  d
  <sup>2</sup>
  H = 6.65
  d
  <sup>18</sup>
  O
   －
  0.13; r<sup>2</sup>
   
  =
   
  0.86); Pacific Coast (
  d
  <sup>2</sup>
  H = 7.60
  d
  <sup>18</sup>
  O
   
  +
   
  7.95; r<sup>2</sup>
   
  =
   
  0.99); Carib
  bean Slope (
  d
  <sup>2</sup>
  H = 6.97
  d
  <sup>18</sup>
  O
   
  +
   
  4.97; r<sup>2</sup>
   
  =
   
  0.97); and Central Valley (
  d
  <sup>2</sup>
  H = 7.94
  d
  <sup>18</sup>
  O
   
  +
   
  10.38; r<sup>2</sup>
   
  =
   
  0.98). The water me
  teoric line for Costa Rica can be defined as 
  d
  <sup>2</sup>
  H = 7.61
  d
  <sup>18</sup>
  O
   
  +
   
  7.40 (r<sup>2</sup>
   
  =
   
  0.98). The regression of precipitation amount and annual arithmetic means yields a slope of ﹣
  1.6‰ 
  d
  <sup>18</sup>
  O per 100 mm of rain (r<sup>2</sup> = 0.57) which corresponds with a temperature effect of ﹣
  0.37‰ 
  d
  <sup>18</sup>
  O/&#176;
  C. A strong correlation (r<sup>2</sup>
   
  =
   
  0.77) of ﹣
  2.0‰ 
  d
  <sup>18</sup>
  O per km of elevation was found. Samples within the Nicoya Peninsula and Caribbean lowlands appear to be dominated by evaporation enrichment as shown in d-excess interpolation, especially during the dry months, likely resulting from small precipitation amounts. In the inter-mountainous region of the Central Valley and Pacific slope, complex moisture recycling processes may domi
  nate isotopic variations. Generally, isotopic values tend to be more depleted as the rainy season progresses over the year. Air parcel back trajectories indicate that enriched isotopic compositions both in Turrialba and Monteverde are related to central Caribbean parental moisture and 
  low
   rainfall intensities. Depleted events appear to be related to high rainfall amounts despite the parental origin of the moisture.
  
 
</p></abstract><kwd-group><kwd>Stable Isotopes; Costa Rica; Precipitation; GNIP; HYSPLIT Model</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>Tropical regions cover approximately 50% of Earth’s landmass and are home to three-quarters of the human population. During the last decade, the scientific community, environmental institutions, governments, and communities have increased their awareness of tropical climate variability based on the premise that changes in regional and global circulation trends may lead to intensification (i.e., greater rainfall intensity) or weakening (i.e., prolonged drought) of the hydrological cycle in particular regions [<xref ref-type="bibr" rid="scirp.38886-ref1">1</xref>]. For example, several studies have shown the potential high vulnerability of tropical ecosystems to increasing mean surface temperatures [2-4]. In addition, extreme climate events could be even more severe than those experienced to date [<xref ref-type="bibr" rid="scirp.38886-ref5">5</xref>]. Climate anomalies will increase the vulnerability of certain regions and communities to changes in magnitude, timing, and duration of hydrological responses.</p><p>Understanding precipitation patterns, particularly how they differ spatially and temporally, will provide further information on regional and global hydrologic processes and enable better planning and preparation for future potential changes in climate. A better understanding of the factors that control precipitation patterns will inform stakeholders and environmental agencies so that they can prioritize efforts and resources in ungauged basins where potential future droughts or floods may drastically affect ecological assemblages and socio-economic activities. In Central America, many socio-economic activities, especially agriculture, tourism, and hydropower generation, are dependent on seasonal cycles of precipitation. Therefore, in order to determine the interannual variability in precipitation, it is necessary to describe the regional annual cycle precisely and examine the mechanisms that control it [<xref ref-type="bibr" rid="scirp.38886-ref6">6</xref>].</p><p>Across the globe, spatial variation of stable isotopes in the water cycle occurs due to the movement of air masses and fractionation during phase changes, such as condensation and evaporation, creating a directional spatial pattern across regions and continents [<xref ref-type="bibr" rid="scirp.38886-ref7">7</xref>]. Light stable isotope compositions of tropical meteoric waters have proven to be an important indicator of current climate variability [8-16]. In particular, d<sup>18</sup>O values have provided novel insights on El Ni&#241;o/Southern Oscillation dynamics [12,17-19]. In temperate regions, isotopic variations in precipitation frequently have been correlated with mean surface air temperatures [20-25], whereas, in the tropics, several authors have reported “the amount effect” as the main controlling factor [16,24,26,27]. These consistent processes create relatively strong spatial patterns of isotopic compositions across landscapes [<xref ref-type="bibr" rid="scirp.38886-ref28">28</xref>]. Large-scale regional and global patterns can be depicted through isoscapes that illustrate the spatial and temporal variation of isotopes over a geographic region.</p><p>Despite novel advances to understand stable isotope precipitation dynamics in the tropics, there is consensus among scientists in the published literature [13,16,27] on the urgent need for long-term sampling networks that may lead to a better spatial and temporal resolution, particularly in mountainous regions such as the Central American Continental Divide (CACD). In the CACD orographic effects, moisture recycling and canopy interception, intense evapotranspiration, and microclimates are relevant factors in isotopic variation. Furthermore, recent studies have demonstrated that variations in the stable isotope composition of precipitation occur even between storm events [29-32], emphasizing the importance of event-based sampling.</p><p>Stable isotope research in Costa Rica has been limited to date with no studies conducted on a regional scale examining trends in precipitation. Lachniet and Patterson (2002) [<xref ref-type="bibr" rid="scirp.38886-ref27">27</xref>] provided a preliminary evaluation of d<sup>18</sup>O and d<sup>2</sup>H in Costa Rican surface waters (n = 63 from rivers and lakes). Their study found regional trends in the isotopic composition of surface waters inversely correlated to altitude ranges (−1.4 d<sup>18</sup>O ‰/km) and evaporation enrichment, particularly in the northwestern region. Rhodes et al. (2006) studied the seasonal variation of isotopic composition in tropical montane forests of Monteverde’s National Park located on the continental divide. Based on seasonal d-excess variations, the authors concluded that water evaporated from land is an important component of the water budget to the region during the transitional and dry seasons. Reynolds and Fraile (2009) [<xref ref-type="bibr" rid="scirp.38886-ref33">33</xref>] conducted a groundwater recharge study on one of the main aquifers of the Central Valley of Costa Rica that provides water to approximately 30% of the population. Based upon precipitation, well, and spring records they were able to identify local recharge areas mainly dominated by Pacific-originated storms. Greater understanding of spatial and temporal isotopic variations in tropical regions with similar topographic, vegetation, and climatic attributes can enhance hydrological studies of this nature.</p><p>Costa Rica’s climate is mainly controlled by four phenomena: northeast trades-winds (i.e., alisios), the shifts of the Intertropical Convergence Zone (ITCZ), cold continental outbreaks, and indirect influence of Caribbean cyclones [<xref ref-type="bibr" rid="scirp.38886-ref34">34</xref>]. These circulation processes produce three distinct seasons. The wet season (May-October) corresponds to the time when the ITCZ travels over Costa Rica, and precipitation is characterized by heavy convective rain storms. The transitional (NovemberJanuary) and dry (February-April) seasons comprise the months when the ITCZ is located to the south of Costa Rica [<xref ref-type="bibr" rid="scirp.38886-ref35">35</xref>]. During the wet season, the air masses arriving in Costa Rica can be classified as continental winds, reaching Costa Rica’s Central Valley from the Pacific Ocean. Most of these air masses move over industrial and urban areas of the country. In the dry season, trade winds bring air masses to Costa Rica from the Caribbean Sea, and they move over non-industrial and less populated areas. Air masses arriving over Costa Rica during the transitional season can be transported by continental or trade-winds, and a weakening in the trade winds reaching Costa Rica is usually observed during the afternoon. Due to the transport pattern of the air masses observed in Costa Rica throughout the year, the isotopic composition of precipitation in Costa Rica is expected to vary depending on its origin from either the Caribbean Sea or the Pacific Ocean and also on the air trajectory across the country (i.e. industrial-urban areas versus remote-forested areas). Annual precipitation varies from ~1500 mm in the northwestern region and Nicoya Peninsula to ~7000 mm on the Caribbean side of the Talamanca range. Temperature seasonality is low. The mean annual temperatures vary from around 27˚C on the coastal lowlands, 20˚C in the Central Valley, and below 10˚C at the summits of the highest mountain range (~4000 m.a.s.l.).</p><p>The Global Network for Isotope in Precipitation (GNIP) [<xref ref-type="bibr" rid="scirp.38886-ref36">36</xref>] data set provides isotopic values of precipitation from 46 stations across Costa Rica between 1990 and 2005 (intermittent collection over this period). Most of the reported stations were located within the Central Valley (greatest populated area) and the North Pacific region. Therefore, a considerable gap exists along the Pacific and Caribbean shores, continental divide, and the northern and southern regions. Herein, we present an analysis of the spatial and temporal variation of stable isotopes in meteoric waters in Costa Rica and determine which broad climatic or topographic factors may influence isotopic variations across the region. Results of this analysis provide baseline historical spatial-temporal characterization of meteoric waters in Costa Rica that has been lacking to date.</p></sec><sec id="s2"><title>2. Methods and Materials</title><sec id="s2_1"><title>2.1. Study Area</title><p>The Central Valley is a heavily populated area containing four major cities of Costa Rica located within its boundaries (~60% population) along with significant industrial activity. Weather conditions in the valley are mainly influenced by easterly Caribbean trade-winds during the dry season (February-April) and by frequent westerly continental air masses during the wet season (May-October). About ~50% of GNIP were located within the valley limits. In this region, mean annual precipitation ranges from ~3500 mm in the highlands to ~2000 mm within the foothills (<xref ref-type="fig" rid="fig2">Figure 2</xref>), and the area experiences 3 - 4 dry months over the summer. This inter-mountainous valley region has an elevation between 1000 and 2500 meters m.a.s.l, with average temperatures that range from 14˚C to 18˚C. The northern Pacific region of the Nicoya Peninsula receives on average 1500 mm of precipitation and suffers extensive dry periods that can reach up to 6 months. The Caribbean slope is characterized by a short dry season (1 - 2 months); mean annual precipitation in this region ranges from 4500 to 6000 mm.</p></sec><sec id="s2_2"><title>2.2. Historic GNIP Records Analysis</title><p>We analyzed stable isotope records (n = 679) of 46 monitoring stations across Costa Rica obtained from the GNIP data base (<xref ref-type="table" rid="table1">Table 1</xref>, <xref ref-type="fig" rid="fig1">Figure 1</xref>). Station altitude ranges from 0 - 3000 m.a.s.l with a mean altitude of 930 m.a.s.l. Sampling frequency was typically monthly except for one station (Monteverde) where event-based sampling was conducted by Rhodes et al. (2006). The entire data set is comprised of three relative short-term sampling campaigns: 1990-1992, 1997-1998, and 2002- 2005. Weighted d<sup>18</sup>O and d<sup>2</sup>H means were calculated for 42 stations (87%). Linear regression analysis of elevation and arithmetic d<sup>18</sup>O values was conducted considering 18 stations which are unlikely to be influenced by evaporation enrichment: La Selva, Turrialba, Santa Mar&#237;a, San Pablo, Santa Luc&#237;a, Birr&#237;, Monteverde, Zurqu&#237;, Heinz Hoffman, Monte de la Cruz, Pacayas, Fraijanes, Vara Blanca, La Giralda, Sacramento, Paso Llano, Po&#225;s, and Iraz&#250;. Likewise, linear regression analysis of precipitation amount and d<sup>18</sup>O values was determined using data from 11 stations which are representative of all four regions: Turrialba, Puriscal, Fraijanes, Orotina, Santa Barbara, Rancho Redondo, Puntarenas, Hacienda Tempisque, and Sacramento. &#160;</p><p>Spatial analysis was conducted using the Atlas of Costa Rica 2008 database [<xref ref-type="bibr" rid="scirp.38886-ref37">37</xref>]. The natural neighbor procedure in ArcGIS 9.3 was applied to calculate deuterium excess, d<sup>18</sup>O, and d<sup>2</sup>H interpolations. High station densities within the Central Valley and Nicoya Peninsula may overemphasize the isotopic signature of these regions. Data limitations constrained this and additional analyses. First, the majority of the stations (61%) generally reported isotopic values over a 1 year period with monthly values ranging from n = 4 to 28 with a mean of n = 15. Second, most of the reported stations were located within the Central Valley (the most populated area) and the North Pacific region (<xref ref-type="fig" rid="fig1">Figure 1</xref>). Therefore, a considerable gap exists along the Pacific and Caribbean shores, continental divide, and the northern and southern regions (<xref ref-type="fig" rid="fig1">Figure 1</xref>). Third, there was an omission of temperature values which prevented calculation of d<sup>18</sup>O and temperature correlation.</p></sec><sec id="s2_3"><title>2.3. HYSPLIT Model Simulations</title><p>To complement the historic GNIP station data analysis, air parcel back trajectories were calculated for particular locations using the hybrid single particle Lagrangian integrated trajectory model (HYSPLIT) [<xref ref-type="bibr" rid="scirp.38886-ref38">38</xref>]. Isotopic values in precipitation from two distinct study locations, Monteverde (continental divide) and Turrialba (Caribbean Slope), were analyzed. Both a depleted and enriched isotopic event during the 2011 and 2012 water years were chosen from these two locations. Single (24 hours) five days back trajectories were calculated using the vertical velocity model calculation method. Trajectory ensembles were done using the GDAS1 meteorological database. Back trajectories were calculated starting at 2300 UTC. Rainfall rate, downward radiation,</p><table-wrap-group id="1"><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> Summary of GNIP stations operated in Costa Rica from 1990 to 2005</title></caption></table-wrap-group><p>relative humidity, and elevation of the mixing layer depth were also computed.</p></sec><sec id="s2_4"><title>2.4. Stable Isotope Analysis</title><p>Precipitation was collected on event-basis. Monteverde sampling was carried out during July, August, and September of 2011. Turrialba’s sampling period used in this study was from September to December, 2012. The collector for individual events consisted of a 10.16 cm plastic funnel coupled with a metal filter mesh (i.e., to prevent external contamination). The funnel was connected to 4 L high density polyethylene (HDPE) container. An approximately 3 cm mineral oil layer was added to prevent fractionation according with standard sampling protocols. Later, mineral oil was separated using a 250 - 500 mL separatory funnel. Samples were stored upside down in a HDPE bottles with conic and polyseal inserts and parafilm seals until analysis. Stable isotope analyses were conducted at the Chemistry School of the National University (Heredia, Costa Rica) and the Idaho Stable Isotope Laboratory (Moscow, Idaho) using a Cavity Ring Down Spectroscopy (CRDS) water isotope analyzer L2120-I (Picarro, CA) and L1120-i (Picarro, CA), respectively. Ratios of d<sup>18</sup>O/d<sup>16</sup>O and d<sup>2</sup>H/d<sup>1</sup>H are expressed in delta units (‰, parts per mil) relative to Vienna Standard Mean Ocean Water (V-SMOW). The current analytical analyzers precision is 0.1‰ d<sup>18</sup>O/d<sup>16</sup>O and 0.5‰ d<sup>2</sup>H/d<sup>1</sup>H.</p></sec></sec><sec id="s3"><title>3. Results and Discussion</title><sec id="s3_1"><title>3.1. Precipitation</title><p>Precipitation variability in Costa Rica reflects regional and local complex dynamics. <xref ref-type="fig" rid="fig2">Figure 2</xref> shows mean annual precipitation throughout Costa Rica and precipitation amounts recorded during isotopic sampling campaigns. GNIP precipitation records are consistent with the Atlas of Costa Rica reported values and ranged from 5074 mm (Zurqu&#237;) to 897 mm (Hacienda Tempisque) with a mean of 2479 mm (<xref ref-type="table" rid="table1">Table 1</xref>, <xref ref-type="fig" rid="fig2">Figure 2</xref>). The lowlands of the Nicoya Peninsula is the region with the lowest precipitation regime (&lt;1500 mm) while the Talamanca Range and northeastern Caribbean lowlands received the greatest amount, between 4500 - 8000 mm</p><p>annually. These precipitation records provide a reliable basis for further stable isotope spatial analysis.</p></sec><sec id="s3_2"><title>3.2. (<sup>18</sup>O and (<sup>2</sup>H Isotopic Variations</title><p>Stable isotope signatures in precipitation across Costa Rica were variable during the sampling campaigns. d<sup>18</sup>O composition ranged from −1.8‰ to −10.1‰ with an arithmetic mean of −6.7 &#177; 1.4 (‰) (<xref ref-type="fig" rid="fig3">Figure 3</xref>, <xref ref-type="table" rid="table1">Table 1</xref>). Weighted d<sup>18</sup>O values range from −3.2‰ to −11.1‰ with a mean of −7.4 &#177; 1.8 (‰) (<xref ref-type="table" rid="table1">Table 1</xref>). Deuterium composition varied from −17.3‰ to −70.4‰ with an arithmetic mean of −43.2 &#177; 10.3 (‰) (<xref ref-type="fig" rid="fig3">Figure 3</xref>, <xref ref-type="table" rid="table1">Table 1</xref>). Weighted d<sup>2</sup>H values ranged from −19.7‰ to −76.8‰ with a mean of −49.0 &#177; 13.7 (‰) (<xref ref-type="table" rid="table1">Table 1</xref>). <xref ref-type="fig" rid="fig4">Figure 4</xref> shows the regional water meteoric lines for each of the four main regions for the GNIP Stations (Nicoya Peninsula, Pacific Coast, Caribbean Slope, and Central Valley). The best fit straight line to the data for the Nicoya Peninsula yields an arithmetic water line equation of d<sup>2</sup>H = 7.84d<sup>18</sup>O + 7.60 (<xref ref-type="fig" rid="fig4">Figure 4</xref>), whereas the weighted meteoric water line yields a distinct best fit straight line equation of d<sup>2</sup>H = 6.65d<sup>18</sup>O − 0.13 (<xref ref-type="fig" rid="fig4">Figure 4</xref>), likely resulting from small precipitation amounts. For the Pacific Coast, the best fit straight line to precipitation-weighted annual means is d<sup>2</sup>H = 7.60d<sup>18</sup>O + 7.95 (<xref ref-type="fig" rid="fig4">Figure 4</xref>), which is consistent with the Global Meteoric Water Line (GMWL) of d<sup>2</sup>H = 8d<sup>18</sup>O + 10 [<xref ref-type="bibr" rid="scirp.38886-ref39">39</xref>]. Interestingly, Pacific Coast stations are close to equilibrium conditions rather than exhibiting evaporation enrichment. The Caribbean Slope precipitation-weighted water line d<sup>2</sup>H = 6.98d<sup>18</sup>O + 4.97 (<xref ref-type="fig" rid="fig4">Figure 4</xref>) reflects orographic distillation of Caribbean-sourced moisture. Overall, the best fit line to the precipitation-weighted data for all regions combined yields a water line of d<sup>2</sup>H = 7.61d<sup>18</sup>O + 7.40 (r<sup>2</sup> = 0.98) which corresponds closely to the GMWL (<xref ref-type="fig" rid="fig5">Figure 5</xref>). Enriched values above the annual mean of −6.7‰ d<sup>18</sup>O were often observed during January to March. The greater variation occurred in May and June when the ITCZ starts its migration over Costa Rica. Towards the middle of the wet season (August, September, and October) d<sup>18</sup>O variation appears to decrease due to increase in precipitation amounts. The intensification of northeast trade winds in December produced a decrease in precipitation, and consequently, enrichment in isotopic values (<xref ref-type="fig" rid="fig5">Figure 5</xref>).</p></sec><sec id="s3_3"><title>3.3. The Altitude Effect</title><p>The variability in isotopic composition of precipitation with elevation is not consistent across the GNIP stations indicating a complex system. <xref ref-type="fig" rid="fig6">Figure 6</xref> shows three lon-</p><p>gitudinal transects. For the Caribbean slope, there is an evident orographic distillation effect from Puerto Lim&#243;n (0 m.a.s.l.) to Taus (900 m.a.s.l.) of −3.5‰ d<sup>18</sup>O/km. The ~75 km Pacific slope transect from Herradura (3 m.a.s.l.) to Paso Llano (2397 m.a.s.l.) represents a more complex system. For instance, a rainout effect is observed up to the Santa B&#225;rbara station (1102 m.a.s.l.) (<xref ref-type="fig" rid="fig6">Figure 6</xref>). However, at the two higher elevation stations (Birr&#237; and Heinz Hoffman) isotopic compositions are more enriched, suggesting another moisture source. A similar phenomena is also observed along the Nicoya Peninsula transect of ~66 km from the coast to the Rinc&#243;n de la Vieja volcano (<xref ref-type="fig" rid="fig6">Figure 6</xref>).</p><p>Considering the 18 stations mainly from the Central Valley cluster, the correlation of elevation with arithmetic mean annual d<sup>18</sup>O is moderately strong (r<sup>2</sup> = 0.77). The best fit straight line has a slope of −0.2‰ d<sup>18</sup>O per 100 m, which is close to the range of 0.1‰ and 0.36‰ reported by Leibungdgut et al. (2009) [<xref ref-type="bibr" rid="scirp.38886-ref40">40</xref>]. Since the altitude effect is the combined result of the temperature effect and moisture depletion by adiabatic cooling, a temperature effect can be calculated by knowing the atmospheric lapse rate. Lachniet and Paterson (2002) [<xref ref-type="bibr" rid="scirp.38886-ref27">27</xref>] reported a lapse rate of −5.4˚C/km for the San Jos&#233; area. Therefore, an altitude effect of −0.2‰/km corresponds to −0.37‰/˚C, in agreement with temperature effects reported in the pioneer work done by Dansgaard [<xref ref-type="bibr" rid="scirp.38886-ref23">23</xref>].</p></sec><sec id="s3_4"><title>3.4. The Amount Effect and d-Excess Isoscape</title><p>One important factor controlling isotopic variations in the tropics is the “amount effect” [23,24,41]. This effect has been attributed to three main factors according to Scholl et al. (2009) [<xref ref-type="bibr" rid="scirp.38886-ref42">42</xref>]: 1) the isotopic composition of the condensation in a cloud decreases as cooling and “rainout” occurs; 2) smaller raindrops equilibrate to a larger degree with the water vapor and temperature conditions below the cloud; and 3) small raindrops evaporate more than larger raindrops on their way to the land</p><p>surface. The slope of the best fit straight line to precipitation amount and d<sup>18</sup>O from 11 stations, which are representative of the four main regions described previously, was found to be −1.6‰ per 100 mm decrease in rainfall (r<sup>2</sup> = 0.57). This effect is clearly present during the times of lowest precipitation (January to April).</p><p>The “amount effect” was also observed in the d-excess isoscape presented in <xref ref-type="fig" rid="fig7">Figure 7</xref>. D-excess composition ranged from 2.9‰ to 14.4‰ with an arithmetic mean of 10.8 &#177; 2.0 (‰) (<xref ref-type="table" rid="table1">Table 1</xref>, <xref ref-type="fig" rid="fig7">Figure 7</xref>). Weighted d-excess values range from 3.5‰ to 17.4‰ with a mean of 10.3 &#177; 2.1 (‰) (<xref ref-type="table" rid="table1">Table 1</xref>, <xref ref-type="fig" rid="fig7">Figure 7</xref>). Low d-excess (~3‰) is predominantly present within the Nicoya Peninsula and Caribbean lowlands and may also be a common phenomena across the northern lowlands and Nicaragua trough. High d-excess (&gt;17‰) was found in the dense forested areas east of the Central Valley (Zurqu&#237; and Iraz&#250; mountain range) and the Pacific slope of the Monteverde tropical cloud forest (<xref ref-type="fig" rid="fig7">Figure 7</xref>), which may indicate successive evaporation and precipitation cycles. Based on d-excess values, Rhodes et al. 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