Data for "Why are Mountaintops Cold? The Transition of Surface Lapse Rate on Dry Planets"
<p>Edited by Bowen Fan on 06/02/2023</p> <p>0. This Dataset is for the paper “Why are Mountaintops Cold? The Transition of Surface Lapse Rate on Dry Planets”. </p> <p>1. data_Fig1.mat: data for figure 1<br> lon: longitude<br> lat: latitude<br> Ts: surface temperature (unit in K) as a function of longitude, latitude, and case. <br> Z: surface elevation (unit in meter) as a function of longitude latitude, and case. <br> a: surface lapse rate (unit in %) for the cases in figure 1c<br> a1, a2, a3, a4, a5, a6: surface lapse rate (unit in %) for the cases in figure 1d<br> b1, b2, b3, b4, b5, b6, b7: surface lapse rate (unit in %) for the cases in figure 1e</p> <p>2. data_Fig2.mat: data for figure 2<br> GSW: net solar heating (unit in W/m2) as a function of longitude, latitude, and case. <br> GLW: atmospheric heating (unit in W/m2) as a function of longitude, latitude, and case.<br> TSK: surface emission (unit in W/m2) as a function of longitude, latitude, and case.<br> HFX: sensible cooling (unit in W/m2) as a function of longitude, latitude, and case.</p> <p>3. data_Fig3.mat: data for figure 3<br> LWS_diff: the difference of surface emission between highland and lowland <br> LWA_diff: the difference of atmospheric emission between highland and lowland <br> SH_diff: the difference of sensible heat flux between highland and lowland </p> <p>4. data_Fig4.mat: data for figure 4</p> <p>a1, a2, a3, a4: surface lapse rate (unit in %) for the cases in figure 4a<br> c1, c2: surface lapse rate (unit in %) for the cases in figure 4b</p> <p>5. data_FigS1.mat: data for supplementary figure 1<br> lon: longitude<br> lat: latitude<br> Ts: surface temperature (unit in K) as a function of longitude, latitude, and case. <br> Z: surface elevation (unit in meter) as a function of longitude latitude, and case. <br> a1, a2: surface lapse rate (unit in %) for the cases in figure S1c</p> <p>6. data_FigS2.mat: data for supplementary figure 2<br> lon: longitude<br> lat: latitude <br> HGT: surface elevation (unit in meter) as a function of longitude latitude. <br> a1, a2: surface lapse rate (unit in %) for the cases in figure S2b<br> b1, b2: surface lapse rate (unit in %) for the cases in figure S2c</p> <p>7. data_FigS3.mat: data for supplementary figure 3<br> lon: longitude<br> lat: latitude<br> T: near-surface air temperature (unit in K) as a function of longitude, latitude, and case. <br> Z: surface elevation (unit in meter) as a function of longitude latitude, and case. <br> U: near-surface zonal wind (unit in m/s) as a function of longitude, latitude, and case.<br> V: near-surface meridional wind (unit in m/s) as a function of longitude, latitude, and case.</p> <p>8. data_FigS4.mat: data for supplementary figure 4<br> GSW: net solar heating (unit in W/m2) as a function of longitude, latitude, and case. <br> GLW: atmospheric heating (unit in W/m2) as a function of longitude, latitude, and case.<br> LWS: surface emission (unit in W/m2) as a function of longitude, latitude, and case.<br> HFX: sensible cooling (unit in W/m2) as a function of longitude, latitude, and case.</p> <p>9. data_FigS3.mat: data for supplementary figure 5<br> Ts_local: surface temperature (unit in K) as a function of case and location (1 = highland, 2 = lowland).<br> Ps_local: surface pressure (unit in Pa) as a function of case and location.<br> T_local: atmospheric temperature profile as a function of height, case and location. <br> P_local: atmospheric pressure profile as a function of height, case and location. <br> T_ad: adiabatic atmospheric temperature profile as a function of height, case and location.</p> <p>10. data_FigS6.mat: data for supplementary figure 6<br> 10a. Cases with varied greenhouse forcing<br> SW_G LWA_G LWS_G SH_G: surface energy budgets from the GCM. The dimensions are location (1 for highland, 2 for lowland) and case.<br> LWA1_G, LWS1_G, SH1_G: surface energy budgets from the highland part of two-column model<br> LWA4_G, LWS4_G, SH4_G: surface energy budgets from the lowland part of two-column model<br> 10b. Cases with varied surface pressure<br> SW_A LWA_A LWS_A SH_A: surface energy budgets from the GCM. The dimensions are location (1 for highland, 2 for lowland) and case.<br> LWA1_A, LWS1_A, SH1_A: surface energy budgets from the highland part of two-column model<br> LWA4_A, LWS4_A, SH4_A: surface energy budgets from the lowland part of two-column model</p>
ShareScore
32/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 4
- Harmonization
- 4
- Access
- 16
- Reuse readiness
- 8
- Engagement
- 0