[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-227816-en":3,"doc-seo-227816-105":30,"detail-sidebar-cat-0-en-105":92},{"code":4,"msg":5,"data":6},0,"success",{"doc_id":7,"user_id":8,"nickname":9,"user_avatar":10,"doc_module":4,"category_id":11,"category_name":12,"doc_title":13,"doc_description":14,"doc_content":15,"file_id":16,"file_url":17,"file_type":18,"file_size":19,"view_count":20,"is_deleted":4,"is_public":20,"is_downloadable":20,"audit_status":20,"page_count":21,"language":22,"language_code":23,"site_id":24,"html_lang":23,"table_of_contents":25,"faqs":26,"seo_title":27,"seo_description":14,"update_tm":28,"read_time":29},227816,8796095462418,"Noah","https://ap-avatar.wpscdn.com/avatar/80000253c1241d02b47?x-image-process=image/resize,m_fixed,w_180,h_180&k=1778826106357471780",8,"Research & Report","Thermophysical Analysis of Gale Crater - Thermal Inertia - Derivation and Modelling","Thermophysical analysis of Gale Crater focuses on deriving thermal inertia from Mars temperature observations using TES, THEMIS, and the Curiosity rover. The work explains how thermal inertia relates to heat conduction and storage, and how higher inertia corresponds to reduced temperature variation. A surface-temperature model varies key parameters including albedo, pressure, dust opacity, latitude, local time, and season, then applies heterogeneity modelling with layered components. Results compare observed TES-derived thermal inertia across Peace Vallis and alluvial fans to modelled apparent values, interpreting high and low thermal inertia terrains in terms of dust/sand thickness and lithification or induration.","Thermophysical Analysis of Gale  \nCrater Using Observations from TES, THEMIS and the Mars Science Laboratory Curiosity rover.  \nEddy Barratt, Nathaniel Putzig  \nEuropean Planetary Science Congress  \nTuesday, 10th September, 2013  \nThermal Inertia  \nThermal inertia representshow good a surface is at conducting away and storing heat.  \nThe higher the thermal inertia, the lower the variation in temperature.  \nk, conductivity ρ , density  \nc, heat capacity  \nThermal Inertia  \nDerive thermal inertia from temperature measurements:  \n• Model Surface temperature over a range of:  \n-albedo, surface pressure, dust opacity, latitude, time of day, season, thermal inertia.  \n• Use measurements of temperature from TES or THEMIS, interpolate from pre-run models to find appropriate thermal inertia for time and season.  \nTES: Thermal Emission Spectrometer on board Mars Global Surveyor.  \nTHEMIS: Thermal Emission Imaging System onboard Mars Odyssey.  \nThermal Inertia Derivation  \nHeterogeneity Modelling  \n• Following technique of Putzig and Mellon (2007) .  \n• Generate model temperature curves for two-component horizontal mixtures and vertical layers.  \n• Compare variations in TES derived thermal inertia to modelled apparent thermal inertia.  \nPutzig and Mellon (2007), Icarus  \nGale Crater  \nGale Crater  \nGale Crater  \nNorthern Crater floor, Peace Vallis, Peace Vallis fan.  \n• High thermal inertia (315-635 tiu), high albedo (0 .20-0.25) .  \n• Low Thermal inertia in depressions; valley bottom, crater floors.  \n• Pelkey and Jakosky (2002) suggest that the northern crater floor is “extensively indurated material such as a mantle that has undergone cementation”  \nPelkey and Jakosky (2002), Icarus  \nGale Crater  \nPeace Vallis Alluvial Fan .  \n• Lithified sediment deposited at mouth of river.  \n• Two distinct areas characterised by their thermal inertia.  \n• Low thermal inertia fan:  \n-Northern part of fan.  \n- ~400 tiu.  \n-Subdued, mantled texture (Anderson and Bell, 2010) .  \n• High thermal inertia fan:  \n-Southern part of fan.  \n- ~600 tiu.  \n-Layered, fractured, more rocky than Northern part.  \nAnderson and Bell (2010) suggest that whole area was covered in same mantle material. Eroded away from high thermal inertia area.  \nAnderson and Bell III (2010), The Mars Journal  \nGale Crater 02:00  \nTES  \nTES observations of high thermal inertia fan and layered model temperatures .  \n14:00 TES  \nδ = asonal skin depth.~20 cm for dust. 70 cm for sand.  \nNo great fit, but...  \n• Ignoring outliers, general trend consistent with dust or sand over rock.  \n• Consistent with landing video and rover observations .  \nGale Crater  \nTES observations of low thermal inertia fan and layered model temperatures .  \nδ = asonal skin depth.~20 cm for dust. 70 cm for sand.  \nSimilar to High TI fan ...  \n• Consistent with 2 x thicker dust layer.  \nGale Crater  \nHiRISE image ESP_032436_ 1755_COLOR","cbCaidjw5Y1nuppS","https://ap.wps.com/l/cbCaidjw5Y1nuppS","pdf",11651316,1,18,"English","en",105,"# Thermal Inertia\n## Derive thermal inertia from temperature measurements\n## Thermal Inertia Derivation\n## Heterogeneity Modelling\n# Gale Crater Observations and Interpretation\n## Peace Vallis and alluvial fan thermal inertia patterns\n## TES observations and seasonally related skin depth","[{\"question\":\"What does thermal inertia represent in the context of Gale Crater?\",\"answer\":\"Thermal inertia measures how well a surface conducts away and stores heat. Higher thermal inertia leads to lower temperature variation over time.\"},{\"question\":\"How is thermal inertia derived from temperature observations?\",\"answer\":\"Surface temperature is modelled across ranges of albedo, pressure, dust opacity, latitude, time of day, season, and thermal inertia. TES or THEMIS temperature measurements are interpolated against pre-run model outputs to estimate suitable thermal inertia for specific times and seasons.\"},{\"question\":\"Why does the modelling treat the surface as heterogeneous layers or mixtures?\",\"answer\":\"Heterogeneity modelling generates temperature curves for two-component horizontal mixtures and vertical layers. It then compares TES-derived thermal inertia variability with modelled apparent thermal inertia to explain differences between terrains.\"}]","Thermophysical Analysis of Gale Crater - Thermal Inertia - Derivation and Modelling | PDF",1789015454,45,{"code":4,"msg":31,"data":32},"ok",{"site_id":24,"language":23,"slug":33,"title":13,"keywords":34,"description":14,"schema_data":35,"social_meta":87,"head_meta":89,"extra_data":91,"updated_unix":28},"thermophysical-analysis-of-gale-crater-thermal-inertia-derivation-and-modelling","",{"@graph":36,"@context":86},[37,54,69],{"@type":38,"itemListElement":39},"BreadcrumbList",[40,44,48,51],{"item":41,"name":42,"@type":43,"position":20},"https://docshare.wps.com","Home","ListItem",{"item":45,"name":46,"@type":43,"position":47},"https://docshare.wps.com/document/","Document",2,{"item":49,"name":12,"@type":43,"position":50},"https://docshare.wps.com/document/research-report/",3,{"item":52,"name":13,"@type":43,"position":53},"https://docshare.wps.com/document/thermophysical-analysis-of-gale-crater-thermal-inertia-derivation-and-modelling/227816/",4,{"url":52,"name":13,"@type":55,"author":56,"headline":13,"publisher":58,"fileFormat":61,"inLanguage":23,"description":14,"dateModified":62,"datePublished":63,"encodingFormat":61,"isAccessibleForFree":64,"interactionStatistic":65},"DigitalDocument",{"name":9,"@type":57},"Person",{"url":41,"name":59,"@type":60},"DocShare","Organization","application/pdf","2026-09-11","2026-09-10",true,{"@type":66,"interactionType":67,"userInteractionCount":20},"InteractionCounter",{"@type":68},"ViewAction",{"@type":70,"mainEntity":71},"FAQPage",[72,78,82],{"name":73,"@type":74,"acceptedAnswer":75},"What does thermal inertia represent in the context of Gale Crater?","Question",{"text":76,"@type":77},"Thermal inertia measures how well a surface conducts away and stores heat. Higher thermal inertia leads to lower temperature variation over time.","Answer",{"name":79,"@type":74,"acceptedAnswer":80},"How is thermal inertia derived from temperature observations?",{"text":81,"@type":77},"Surface temperature is modelled across ranges of albedo, pressure, dust opacity, latitude, time of day, season, and thermal inertia. TES or THEMIS temperature measurements are interpolated against pre-run model outputs to estimate suitable thermal inertia for specific times and seasons.",{"name":83,"@type":74,"acceptedAnswer":84},"Why does the modelling treat the surface as heterogeneous layers or mixtures?",{"text":85,"@type":77},"Heterogeneity modelling generates temperature curves for two-component horizontal mixtures and vertical layers. It then compares TES-derived thermal inertia variability with modelled apparent thermal inertia to explain differences between terrains.","https://schema.org",{"og:url":52,"og:type":88,"og:title":13,"og:site_name":59,"og:description":14},"article",{"robots":90,"canonical":52},"index,follow",{"doc_id":7,"site_id":24},{"code":4,"msg":5,"data":93},[94,98,102,106,111,116,121,124,129,132,136],{"id":20,"doc_module":4,"doc_module_name":46,"category_name":95,"show_sort_weight":96,"slug":97},"Story & Novel",90,"story-novel",{"id":47,"doc_module":4,"doc_module_name":46,"category_name":99,"show_sort_weight":100,"slug":101},"Literature",80,"literature",{"id":53,"doc_module":4,"doc_module_name":46,"category_name":103,"show_sort_weight":104,"slug":105},"Exam",70,"exam",{"id":107,"doc_module":4,"doc_module_name":46,"category_name":108,"show_sort_weight":109,"slug":110},5,"Comic",60,"comic",{"id":112,"doc_module":4,"doc_module_name":46,"category_name":113,"show_sort_weight":114,"slug":115},6,"Technology",50,"technology",{"id":117,"doc_module":4,"doc_module_name":46,"category_name":118,"show_sort_weight":119,"slug":120},7,"Healthcare",40,"healthcare",{"id":11,"doc_module":4,"doc_module_name":46,"category_name":12,"show_sort_weight":122,"slug":123},30,"research-report",{"id":125,"doc_module":4,"doc_module_name":46,"category_name":126,"show_sort_weight":127,"slug":128},9,"Religion & Spirituality",20,"religion-spirituality",{"id":127,"doc_module":4,"doc_module_name":46,"category_name":130,"show_sort_weight":127,"slug":131},"World Cup","world-cup",{"id":133,"doc_module":4,"doc_module_name":46,"category_name":134,"show_sort_weight":133,"slug":135},10,"Lifestyle","lifestyle",{"id":137,"doc_module":4,"doc_module_name":46,"category_name":138,"show_sort_weight":107,"slug":139},19,"General","general"]